Notes on: Gillborn, D. & Mirza, H. (2000).
Educational Inequality: Mapping Race, Class and
Gender — a synthesis of research evidence.
Office for Standards in Education, London.
HMI 232.
https://www.researchgate.net/publication/319490152
Dave Harris
MacPherson showed widespread commitment to the
goal of racial equalities so developing an
educational agenda is clearly a priority,
institutional racism was raised as an issue but
there is confusion. An early Ofsted report
suggested that most LEAs lacked clarity and
direction despite having equal opportunity
policies and less than 1/4 of them had a clear
strategy [1999 Hansard report]. This report draws
on new evidence trying to evaluate the relative
significance of race against gender and social
class, using official data and material based on
the Youth Cohort Study (YCS) of England and Wales.
The focus is on the principal minority ethnic
groups as in the last census — Black Caribbean,
Black African, Black other, Indian, Pakistani and
Bangladeshi which account for 80% of the minority
ethnic population. They have not included Gypsy
and Traveller communities because there was a
separate project on them. They did not include
Chinese because the numbers were generally low and
anyway they were the most likely to attend
independent schools. They use the term African
Caribbean for people of Black African and/or Black
Caribbean heritage because these were terms that
'would be acknowledged and supported by the people
so labelled' (6).
Equality of opportunity is important but racial
equality has only been of marginal significance
compared to social class and gender, until now. It
is now 'widely understood that society as a whole
there is a social and economic cost by being
deprived the fruits [sic] of their enterprise,
energy and imagination'. Only a minority of
primary schools and virtually no secondary schools
'can accurately claim to be "all White"' and 'it
is inconceivable' that any pupil could live their
life without meeting not being affected by people
from different ethnic backgrounds.
The original White paper 'Excellence in Schools'
(1997) committed the government to equality of
opportunity and high standards for all, in order
to avoid isolation and social exclusion.
Underachievement is often assumed to lie with
pupils and families, and this sometimes becomes a
stereotype, sometimes 'a pervasive "discourse of
despair" among and about ethnic minorities' (7).
There are differences in average achievement
between social groups which are concerning but
they do not 'in themselves prove anything about
the potential of those groups'. The reasons are
multiple, patterns of inequality 'are not fixed'.
Groups like African Caribbeans may be ranked
poorly in national measures, 'but the same group
can be doing relatively well in some schools and
in some LEAs', so we should take care not to
assume an overall hierarchy, or to identify
'either "model" — or "deficient" ethnic
minorities'. For example in one LEA,
Bangladeshi pupils emerged 'as the highest
attaining group of all'. Much useful data has been
gathered as a result of the new Ethnic Minority
Achievement Grants (EMAG) which require data
to be submitted and provided a comprehensive
database. However the data were limited, for
example in maintaining the anonymity of LEA's, and
variations in the data they submitted: in
particular, raw numbers were not always provided
and sometimes percentages will 'refer to very
small groups locally'.
The data relates to pupils attaining at least five
higher grade GCSEs. Ethnic classification is also
varied, but it was possible to compare them using
the official categories [how often?]. Several
combined all-Black groups under a single heading,
others used different ranges [bloody careless!]
Several could not give a figure for minority
attainment in year 11, and almost 1/3 of them did
not record current GCSE attainments by ethnic
origin [at all?], So ethnic monitoring is 'still
not a universal feature'.
[What data there is] show that White pupils are
the highest achieving groups in 5% of the LEAs
that did monitor, and second highest in a further
32%. There are 7% where White pupils are the
lowest attaining. However, this 'almost certainly
underestimates the true level of White attainment
because those authorities that do not monitor by
ethnicity and those that did not bid for EMAG
support… are likely to be among those with the
least history minority settlement… [And]… Also…
Places where White pupils enjoy relatively high
attainments' (9).
For each of the main ethnic groups, 'there is at
least one LEA where that group is the highest
attaining'. We have to remember that this is a
measure 'relative to other groups' but it is
encouraging. There might also be small numbers
only involved. But it is significant and reminds
us of the variability of attainment, and that 'all
can achieve' [also means that there is no systemic
racism?].
Focusing on the relative attainment of African
Caribbean pupils is not easy, 'because several
authorities use composite categories', some record
three Black groups, some two, some only one. But
if we compare Whites attainment and all the
recorded Black groups in each L EA, we find that
in 11% of them returning suitable data, White
pupils were less likely to obtain five higher
grade GCSE grades than Black pupils in each of the
categories listed by the LEA . The reverse was the
case in 42% of the L EA's, however where none of
the Black categories match the attainment of White
pupils. This shows 'the situation is more complex
than usually supposed, but one still characterised
by inequality of outcome' [by no means systemic
and constant racism!]. It certainly shows
that 'Black pupils are capable of high
achievement. In one of 10 authorities that monitor
GCSE results by ethnicity, pupils in all recorded
Black groups are more likely to obtain the
benchmark than their White peers. However there is
still a picture of marked inequality elsewhere:
there are almost 4 times as many L EAs where the
picture is reversed' (10).
Previous Ofsted research showed that Indian pupils
were the highest performing of the South Asian
categories and were achieving levels of success
better than White counterparts in some but not all
urban areas, since confirmed by the Youth Cohort
Study (YCS). EMAG data shows they are more likely
than White people to attain five higher grade
GCSEs in 83% of authorities monitoring by
ethnicity and this is 'a highly significant
pattern'. Having English as an additional language
'is not an impenetrable barrier', especially as a
recent survey suggests that a majority of all
British Asians speak a non-European language,
despite an increasing frequency of English among
the young. Pakistani pupils get lower average
results than their White peers at age 16 although
again EMAG data suggests 'considerable variation
between different authorities, and in 43% of those
suitable ones they were more likely to attain at
least five higher grade GCSEs than their White
peers, although less likely at the national level.
Bangladeshi pupils were seen as suffering the most
disadvantages is of relatively recent settled
group with 'comparatively low levels of English
language fluency. However by the 1990s they were
already showing dramatic improvement at least in
London, where 1/4 of them are educated, and they
were attaining higher average exam scores than
their White pupils by 1991. YCS data suggest that
this is improved 'substantially in recent
years'(11). EMAG data shows that this is not
limited to London, and although they might still
lag behind White people nationally, there are 'at
the local level… Many cases where this pattern is
challenged'.
So overall data from the EMAG shows quite a lot of
differences in performance across L EA's and there
are general messages. First 'clear grounds for
optimism' because there is at least one authority
where each minority groups attain higher than the
other groups, although we must remember the
limitations of the data. In other words 'no ethnic
group is inherently less capable of academic
success'. Nevertheless, 'inequality of attainment
is a significant and persistent problem for many
minority ethnic groups' so that 'in the majority
of cases White attainment was higher than that
achieved by most of the separate Black cases: in
4/10 cases the White group attained higher than
everyone of the categories used to classify Black
pupils locally. Similarly, Pakistani and
Bangladeshi pupils lagged behind their White peers
in the majority of the submissions'.
EMAG data does not allow us to gather systematic
data on differences based on gender or social
class background, and it only gives one year
returns, so we need additional survey research.
DfEE data shows a dramatic improvement in pupils
completing their schooling with five or more GCSE
higher grade passes from 33% in 1989 to 48% in
1999. This is overall, not broken down by ethnic
origin. We do know about gender, for example. YCS
also gives us data about gender and shows that
'members of each principal ethnic group are now
more likely to attain five higher grades than ever
before', although there are still 'considerable
differences in attainment' between them so they do
not 'experience equal educational opportunities'.
White and Indian peers nationally do better than
African Caribbean Pakistani and Bangladeshi
pupils. This variability of attainment does show
the inequalities 'are not inevitable' (13) and
that 'further changes are possible in the future.
[The actual figures show that 26% of White kids
got five good grades in 1988 and 44% in 97 and
this compares with 17% and 28% for Black kids.
Bangladeshi kids recorded 13% and 32%, so a low
starting point but a better increase, Indians
recorded the best of all increases, and actually
exceeded White levels. For Black students the gap
narrowed in the latest figures but had still grown
overall].
The YCS reports on a sample so it does not offer a
perfect picture, especially when divided into
different subgroups — the numbers in the subgroups
themselves might fluctuate from year to year.
Nevertheless, it is only in the most recent
example minority ethnic groups have 'experienced
an improvement that is greater than that of the
White cohort... This evidence of a "closing gap"
is encouraging'. However, only Whites and Indian
pupils have enjoyed a year-on-year improvement
[see my comments above]. Indians did best and have
overtaken White peers. The 'most concern'is
revealed by the 'growing gap between White pupils
and their peers of Black and Pakistani ethnic
origins' which means that these groups 'did not
enjoy an equal share of the overall improvements
recorded in the headline statistics… [And]… Have
drawn least benefit from the rising levels of
attainment' (14). If we calculate trendlines using
regression analysis we can see that there is
growing inequality of attainment for African
Caribbean and Pakistani pupils. [Assuming nothing
improves though, not the assumption they were
prepared to make earlier].
One question is whether 'all groups draw equal
benefit throughout their time in school'[we know
that Black Caribbean boys do not, that they have
uneven benefits] There is little school
effectiveness research that focuses on ethnic
factors, but some of the EMAG data might help to
show changing patterns of attainment, even though
the data is very patchy and there are no thorough
baseline assessments. Only 6 LEA's provided enough
detail. Here, Black pupils showed worsening
positions between the start and end of compulsory
schooling relative to White peers. In one 'large
urban authority African Caribbean pupils enter
compulsory schooling as the highest achieving
group but leave as the group least likely to
attain five high-grade GCSEs' (16) and this is
based on some of the best data. They declined in
each of the relevant key stages, it seems. Another
analysis of EMAG data showed a similar relative
decline between the ages of 11 and 16 comparing
achievement at different key stage English tests,
and showing worsening performance between key
stage II and four, although they had less reliable
data here. Overall, it seems that Afro-Caribbean
pupils experience greater inequalities of attainment
as they move through the school system, especially
'between the end of primary school and the end of
secondary education' (17'.
It might be that they're more likely to become
alienated from school, but this might be a
stereotype. Some research shows that they 'tend to
display higher levels of motivation and
commitment, enthusiasm for school, rates of
attendance and support for homework [references
are supplied foot of page 17, all of them refer to
the late 1980s one of them is Sewell]. There is a
greater encouragement to pursue FE from families
and a lot of interest among young people. Instead,
'a good deal of qualitative research' [eg Gillborn
and Gipps or Gillborn and Youdell] says that
'Black pupils are often treated more harshly and
viewed with low expectations, and that there is
something in the way by which schools identify
ability and plan decisions like entering for
tiered examinations for example.
Social class
Turning to social class, there is a strong
association between social class and success
according to DfEE figures — those from the most
advantaged backgrounds were 'more than three times
as likely' to get five or more higher grade GCSE's
1997. There is some evidence that show the
inequality [gap] has grown since the late
1980s, from 40 to 49% between 88 and 97. There are
problems in categorising it, and including
additional factors such as parental education.
Coding can still not be 'routinely computerised in
any simple automated way'. Simple definitions
include manual and non-manual, or eligibility for
free school meals, although this really indicates
family poverty. We need to remember that
associations between factors do not necessarily
indicate causal relationships, nor can we assume
that because working class pupils have lagged
behind, that the explanation must lie with them,
or that reasons lie outside the school. School
setting by ability or other forms of selective
grouping might have an effect, so might
differential teacher expectations and other forms
of selection, including teirs in exams.
OFSTED argued that differences in attainment
between ethnic groups 'remains significant even
when taking social class into account', although
the data was unreliable, old and crude. The [YCS]
material is better, but not perfect. We can now
examine class and race, remembering that the sub
samples might be quite small. Nevertheless, 'one
of the most striking findings is that generally
pupils from non-manual backgrounds have
significantly higher attainments, as a group, than
their peers of the same ethnic origin up from
manual households' and 'the familiar association
between class and attainment can be seen to
operate within each of the main ethnic groups'
(19), although social class differences 'are much
less pronounced, even reversed in one cohort [only
just, in 1990] with African Caribbean pupils.
So, 'even when controlling for social class,
there remains significant inequalities of
attainment between different ethnic groups' [the
opposite of what I was about to conclude!] (20).
'Only White pupils improved year on year
regardless of their class background', to be
contrasted with 'points of relative decline in the
attainment of African Caribbean and Pakistani
Bangladeshi pupils from both manual and non-manual
backgrounds' [I really don't understand this —
surely this contradicts the earlier picture of
overall improvement — much depends on relative
decline I suppose — the figures all show absolute
improvement, a bit uneven with Black non-manual
and Indian non-manual. I get it — there were SOME
points of relative decline].
There are also some interesting exceptions, for
example 'in 1988 Black pupils were the most
successful of groups from manual backgrounds' so
they have experienced a particular relative
decline, as have African Caribbean pupils from
non-manual backgrounds, and Indian and Pakistani
Bangladeshi groups from manual backgrounds [in
other words as above with my observations] in the
most recent data 'Indian and Pakistani/Bangladeshi
pupils from manual backgrounds were at least as
successful as Black pupils from non-manual homes'.
And overall 'African Caribbean pupils from
non-manual homes of the lowest attaining of the
middle-class groups… Barely matching the
attainments of working class pupils in other
ethnic groups' (21).
So, class differences appear within each ethnic
group. They do not override the influence of
ethnic inequality because there are still
inequalities of attainment between ethnic groups,
and indeed there may be new inequalities of the
kind above, affecting even Black pupils from
relatively advantaged backgrounds. So we need to
target class disadvantage, but not in isolation
because if we do we may have 'only a limited
effect in closing the gap between particular
ethnic groups. As the data demonstrate, new areas
of concern are emerging were expected social class
differentials are mitigated by the effects of
"race" inequality' (21).
Gender
DfEE data says that the gender gap is increasing
[in favour of girls], from 6% in 1989 to more than
10% in 1999 (five or more higher grade GCSEs)
factors included new approaches to assessment,
teaching and learning, comprehensive schooling,
the positive impact of targeted equal
opportunities policies, changing notions of
masculinity, new attitudes to school and work.
There is variation across subject areas and
'considerable differences in entry entertainment
patterns' in curriculum areas' (22). There is also
sometimes a reversal between GCSE and A-level
attainment. Nevertheless a new gender gap
favouring girls is a popular topic.
Comparing gender gaps with ethnic and social class
inequalities show that in 1997, the most recent
year for YCS data, five or better grades were
attained by 45% of pupils overall: 51% of girls,
42% of boys, but this gender gap 'is considerably
smaller than those associated with race and
class'. The race gap is 'twice the size', and the
results of coming from an unskilled manual home
also provides a greater disadvantage.
This is a fairly crude comparison because there
are variations by social class within ethnic
groups, but we do get some idea of the relative
scale of inequalities. Gender seems to represent
'the narrowest disparity despite media attention.
Gender is therefore 'a less problematic issue'
compared to 'the significant disadvantage of race
and the even greater inequality of class' [we must
be back to overall considerations again]. However,
the factors do not operate in isolation.
Qualitative research shows that there may well be
'gender specific strategies to resist racism and
overcome disadvantage' as when African Caribbean
girls do 'relatively well in comparison to their
White male and female peers' within local schools.
This does not mean that it is only Black boys not
girls that face inequalities — there are now
gender gaps within each of the principal minority
ethnic groups, and inequalities between ethnic
groups regardless of pupil gender. Nevertheless,
'in each of the principal ethnic groups
nationally, girls are more likely to achieve five
higher grade GCSEs than boys the same ethnic
origin' (24) and this pattern was established by
1995. This has not overcome differences between
ethnic groups, however, these 'persist in
comparing groups of pupils of the same sex but
with different ethnic origins'. There seems to be
a particular 'disadvantage experienced by
Pakistani/Bangladeshi and African Caribbean
pupils… The girls attained rather higher than
their male peers but the gender gap within their
groups is insufficient to close the pronounced
inequality of attainment associated with their
ethnic group as a whole'. Those girls 'do less
well than White and Indian girls… [And]… Are also
less likely to attain five higher grade GCSEs them
White and Indian boys'. We must treat the data
with caution, however because sample sizes
in YCS shrink dramatically when we take
multiple background factors. However some evidence
from EMAG support the same trends, for example
from one large metropolitan authority.
There is a range of variation at the local level,
but ethnic inequalities are not confined to a
particular gender so when we control for ethnic
origin and gender we are left with 'similar
patterns to when it was subjected to control by
social class. Race and ethnicity remain key
defining factors in both cases' [yes but we still
cannot say that they are the most important factor
in all cases — if there is a single one that
qualifies it is social class].
There is still a lack of research addressing three
variables together, although the YCS gives
us a chance to do so, despite small sample sizes.
Here we have to combine Pakistani and Bangladeshi
groups and use a twofold model of social class
based on manual and non-manual, but even so there
are still cases where individual subsamples are
less than 30 in size and these values have to be
omitted. The figure that results (page 25) shows
the relative size of histograms in terms of
non-manual and manual groups between 1995 and 1998
for 4 ethnic groups, for boys, and then for girls.


[Their commentary]. Pupils in each category were
more likely to have attained five high grade GCSEs
in 1995 than they were in 1988 so each group has
drawn some benefit. However there is an emerging
pattern of ethnic inequalities. If we compare
pupils of the same gender and social class
background, we can see the Indian pupils did best
followed by White, Pakistani/Bangladeshi and Black
pupils, although our conclusions can only be
'tentative'. We can also see that 'the gender gap
was present within each ethnic group regardless of
social class background… Ethnic inequalities
persist even when simultaneously controlling for
gender and class… When comparing like with like,
in terms of gender, class and ethnic origin,
consistent and significant ethnic inequalities of
attainment remain clear' (26) [I really don't
understand the last point — maybe it means take
each group in terms of social class and then look
at ethnic differences, and then do the same for
the tables whether they are boys and girls, and
then you will find 'significant' ethnic
inequalities. However, these might not be as
significant nevertheless as inequalities based on
social class?]
Broad conclusions are possible:
Ethnic inequalities of attainment vary from one
area to another but… Distinct patterns of
inequality are consistently invisible
inequalities of attainment in GCSE Examinations
place African Caribbean, Pakistani and Bangladeshi
pupils in a disadvantaged position in the youth
education, labour, and training markets, and
increase the likelihood of social and economic
exclusion in later life [ignoring the Indians here
which has led to subsequent complaints of fiddling
the books]
social class and gender differences are also
associated with differences in attainment but
neither can account for persistent underlying
ethnic inequalities: comparing like with like,
African Caribbean, Pakistani and Bangladeshi
pupils do not enjoy equal opportunities [no
Indians again]
ethnic inequalities are not new but neither are
they static. Evidence shows that in some cases the
inequalities of increased in recent years. African
Caribbean and Pakistani pupils, for example, have
not shared equally in the rising levels of GCSE
attainment.
So overall the inclusive educational agendas not
raise standards for all and we need better policy
proposals and practices, better identified
strategies. These should focus on:
Leadership on equal
opportunities and justice from LEAs and schools
pupil and parent perspectives
clear procedures for
recording and acting on racist incidents
an ethos that is open and
vigilant which enables pupils to discuss race
issues and share concerns
developing and communicating
high expectations accompanied by a clear view
the underperformance by any group is
unacceptable
reviewing curricula are and
pastoral approaches to ensure sensitivity and
appropriateness
using ethnic monitoring as a
routine and rigourous part of the schools/L EA's
self evaluation and management.
Schools and LEAs require support and
encouragement. There needs to be discussion on how
to proceed because there is no real consensus at
the moment, and schools clearly have different
targets. One particular school aimed at inclusive
targets to reduce inequalities of attainment which
is in line with the usual dominant approach to
equal opportunities, while other L EAs aim at
improvement regardless of each group's current
position — this might be fair but it 'assumes a
very limited understanding of social justice' and
'does nothing to address past inequalities'. Some
have set targets that would increase certain
inequalities of attainment, by setting targets
specifically for White pupils, for example, with
adjusted lower ones for African Caribbeans,
designed to close the gap with the highest
attaining group (Indians). Yet another one aims to
improve attainment for all minorities!;p.l;pplo.
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