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FINAL REPORT to the LEVERHULME TRUST
Accent change in Glaswegian: A sociophonetic investigation (F/179/AX)
(a) The grant:
Dates:
January 1999 - April 2000; 1 year with 4 month extension.
Budget:
£19140
Personnel:
Dr Jane Stuart-Smith, principal applicant (1 day/wk throughout, including
during maternity leave), Dr Fiona Tweedie, co-applicant (1 day/wk 7 months),
Claire Timmins, research assistant (full-time); collaborators: Dr A. Wrench,
Dr J. Scobbie, Queen Margaret University College, Edinburgh.
Site:
Departments of English Language, and Statistics, Glasgow University
(b)
Objectives:
- To
provide a quantitative and qualitative account of accent change with
respect to consonant pronunciation in Glaswegian.
- By
considering data from a Scottish context, to extend current theoretical
models of the mechanisms of accent change, and thereby, of language
change in general.
- To
extend the use of acoustic analysis as a research tool in sociolinguistic
research, with particular focus on consonantal variables.
- To
contribute to our theoretical understanding of the phonetic processes
of phonological change.
- To
extend the statistical techniques available for the analysis of accent
shift data.
(c)
Research activity Methodology
- An
existing speech dataset was used (Table
1, Figure 1; Stuart-Smith 1999).
- 11
consonantal variables were investigated:
(th),
e.g. tooth; (dh), e.g. brother; (l), e.g. milk; (t),
e.g. butter; (x), e.g. loch; (hw), e.g. whine; (r),
e.g. car; (s), e.g. icy; (k), e.g. lock; (w), e.g.
wine; (r2), e.g. red (Annexe 4).
- Auditory
and instrumental acoustic analysis used existing phonetic techniques,
but following Docherty and Foulkes (1999) extended these for investigating
sociolinguistic variation in consonants.
- Individual
analysis of each variable used exploratory and hypothesis-testing techniques:
cluster analysis; log-ratio linear analysis.
- Combined
analysis of all variables used t-tests and multivariate exploratory
techniques: cluster analysis; principal components analysis.
Problems
The
auditory transcription of some variables was more difficult than anticipated.
Similarly, the statistical analysis was more complex than originally thought.
Work
involved:
preparation
of data
auditory
transcription
instrumental
acoustic analysis (with A. Wrench and J. Scobbie)
statistical
analysis
interpretation/writing
up
Changes
in project: None
(d)
Conclusions and achievements
Objectives:
All objectives were met.
1.
Our comprehensive and detailed quantitative and qualitative account
of Glaswegian consonants reveals change in 7 out of 8 variables (Stuart-Smith,
Timmins, Tweedie forthcoming).
2.
Early sociolinguistic work (e.g. Labov 1972, Trudgill 1972) showed that
notions of ‘prestige’ (overt/covert) and ‘identity’ are useful in explaining
accent change. Current models which particularly consider diffusion and
levelling processes (e.g. Kerswill and Williams 1999; Watt and Milroy
1999) emphasize ‘social networks’ and ‘mobility’ (geographical and social).
It is assumed that weak network ties with mobility will promote change;
close network ties with lack of mobility will promote conformity and inhibit
change (L.Milroy 1980; J.Milroy 1992).
Overall,
the Glaswegian data show that while the least mobile adolescents (working-class)
show high linguistic conformity, they lead all changes; the more mobile
adolescents (middle-class) show few changes (Figures
2-5, 9-11; Tables
2-4).
Thus
it seems that:
- mobility
with weak ties, in conjunction with identity, can inhibit change:
- Regular
contact of middle-class adolescents with speakers from England may help
maintain Scottish features to promote Scottish identity (Glauser 1994).
- lack
of mobility with strong ties, in conjunction with covert prestige, can
promote change: Working-class adolescents consistently distance themselves
from the regional standard (middle-class), by using both local and non-local
non-standard features. Their lack of social and geographical mobility
promotes change to maintain the covert prestige of the Glaswegian vernacular,
albeit in a changed form (Cheshire et al 1999; Foulkes and Docherty
2000).
- network
history is crucial: the present close network structure masks a recent
history of network fragmentation, largely due to the impact of rehousing
policies which peaked during the 1950s and 1960s (Rae 1974; Horsey 1990;
Reed 1999). This may account for the less consistent patterns of working-class
adults and their reduction of traditional ‘Scottish’ features (Macafee
1983 after L.Milroy 1980). Thus repeated network fragmentation and imposed
mobility may have provoked changes, which are now compounded by the
introduction of innovations and accelerated by the maintenance of covert
prestige within the reformed close network structure.
- Our
findings from the Scottish context confirm ‘mobility’ and ‘networks’,
together with ‘prestige’ and ‘identity’, as essential concepts in explaining
accent change, but show that the way in which they interact to induce
or inhibit change depends crucially on the context.
3.
Qualitative and quantitative instrumental acoustic analysis on a range
of the consonant variables
- confirmed
our detailed auditory analysis, but sometimes in a complex manner: e.g.
the auditory transcription of (s) identified a small but significant
degree of variation correlating with gender (Figure
10b). Acoustic analysis confirmed gender patterning but across all
variation (Figure 6)
- revealed
fine-grained acoustic variation in correlation with social factors (Lawson
and Stuart-Smith 1999; Figure 6).
Thus we confirm that the claims made for (t) by Foulkes and Docherty
(1999) may be extended to consonants in general.
4.
Our research allows a contribution to theoretical understanding of the phonetic
processes of phonological change in three respects:
- spread
of variants across phonetic environments In Glasgow the introduction
of innovations depends on the existing pattern of non-standard variation,
and typically exploits gaps: e.g. [v] for /dh/ is found predominantly
in word-final position, where the local non-standard [R] is unlikely
to occur.
- complexity
of consonant change (Socio)linguistic accounts of consonant change
tend to operate with only a few variants (Docherty et al 1997).
Our auditory and acoustic data confirm that in general a wide range
of phonetic variation is involved in consonant change (Figure
7).
- phonetically
intermediate variants We identified variants that were auditorily
and acoustically 'intermediate' (e.g. for (x), Figure
8). We confirm that phonetically intermediate variants can occur
for consonants as well as vowels (e.g. Trudgill 1986).
5.
Several statistical techniques have been applied to this data. The constraints
on the percentage figures have been addressed by the use of compositional
data analysis (Aitchison 1986; Tweedie and Frischer 1999). Exploratory analysis
was carried out using techniques such as cluster analysis (Aitchison 1983),
applied for the first time to accent shift data, which allowed the natural
groupings within the data to be investigated. Formal analysis was carried
out with compositional data analysis and the application of log-ratio linear
modelling. In addition, log-contrast principal components analysis (Aitchison
1983, 1986) was used to analyse the data as a whole.
Conclusions
The
key findings are:
Many
features of consonant pronunciation in Glaswegian are changing, most noticeably
in working-class adolescents
- Diffusion
of non-local, non-standard [f] [v] for (th) (dh) is found alongside
increased usage of local non-standard variants. L-vocalization is
also found (Figure 9).
- T-glottalling,
a long-standing non-standard feature of Glaswegian, is vigorous (Figure
10a; Stuart-Smith 1999a).
- Traditional
Scottish (x) (hw) and postvocalic (r) are undergoing complex changes,
probably loss (Figure 11).
- Working-class
adolescents use both local and non-local non-standard variants to distance
themselves from the regional standard of middle-class adults.
- Working-class
adolescents are highly consistent in their speech patterns.
- Gender
does not often influence patterning, and only consistently that of S-retraction
(Figures 6, 10b).
- Middle-class
adults tend to use traditional Scottish (hw) and postvocalic (r) more
than their working-class counterparts.
- Consonants
generally show very wide variation.
- Phonetically
intermediate variants for consonants are attested.
- Instrumental
acoustic analysis reveals that speakers produce very fine differences
in consonant pronunciation which distinguish them from others socially.
- The
use of compositional data analysis is a clear alternative to the VARBRUL
method (e.g. Labov 1966, Cedergren and Sankoff 1974) which is not able
to deal with the large number of variants that were found in this data.
The complex structure of variation between social groupings would also
have been very difficult to analyse within the VARBRUL system.
Contribution
Our
results are contemporary with studies on urban accents across the British
Isles (e.g. Foulkes and Docherty 1999). Glasgow is participating in the
diffusion of consonant features (‘youth norms’, Williams and Kerswill
1999), and also shows the loss of some traditional consonant features.
While the use of local non-standard variants may overlap with standard
English variants (e.g. [k w V] for (x hw r)), there is no evidence that
these are due to levelling processes, i.e. the reduction of regionally-marked
features during dialect contact (Annexe 5; Dyer
2000). Diffusion of non-local features is not compromising local non-standard
variation.
The
extensive variation found in consonant production supports the reconstruction
of complex consonant change in historical phonology (e.g. Stuart-Smith
1996).
- The
complex sociophonetic variation identified is problematic for theoretical
phonology as currently conceived (Docherty and Foulkes forthcoming).
This supports increasing calls to revise the fundamental conception
of lexical representation within phonology (Coleman forthcoming; Scobbie
et al 2000).
With
the exception of VARBRUL, there is relatively little statistical analysis
carried out in sociolinguistic studies. This study demonstrates the application
of a variety of novel statistical techniques that can be used for sociophonetic
data. The use of multivariate techniques to consider the full pattern
of variability opens up a new aspect of sociolinguistic research.
Significance
- This
is the first comprehensive quantitative sociolinguistic work on Scotland's
largest city for over 25 years.
- We
demonstrate that consideration of all variation is essential for modelling
accent change.
- Our
combination of linguistics and statistics allowed us to explore successfully
alternative methodologies.
- The
widespread media interest in our findings shows the relevance of our
work to the general public.
Evaluation
We
commend our researcher, Claire Timmins, who provided a consistently high
standard of work.
All
forms of analysis undertaken proved to be complex, probably more than
anticipated.
The
'linguistic' side of the project called for two different analyses of
the same data - auditory and acoustic. We gained useful information from
combining the two. It would have been more satisfactory if both types
of analysis had been used for all consonant variables. We recommend that
future work considers fewer variables but in both manners.
Where
the amount of data was small, less demanding statistical methods could
be applied. Further data collection with these particular variables in
mind is recommended.
This
research was truly 'interdisciplinary' in that the analysis of the data
was carried out across the rigours of two disciplines, (socio)linguistics
and statistics. This interaction was sometimes challenging, but ultimately
rewarding, as our results demonstrate.
(e)
Publications and dissemination
Papers
from the project have been/will be presented at the following conferences:
- 7th
Phonology Workshop, Manchester University, 13-15 May, 1999
- British
Association of Academic Phoneticians' Colloquium, Glasgow University,
3-6 April, 2000
- Sociolinguistics
Symposium 2000, UWE, Bristol, 27-29 April, 2000
- 7th
Conference on Laboratory Phonology, MPI, Nijmegen, 29 June-1 July, 2000
- Variation
Is EveryWhere 2000, Essex University, 14-16 September, 2000
- International
Quantitative Linguistics Conference, Prague, 24-26 August 2000.
Forthcoming
report: Accent change in Glaswegian: A sociophonetic investigation,
full report on Leverhulme Trust grant no. F/179/AX
Planned
publications
- 'Accent
change in Glaswegian', Language Variation and Change
- 'Sex
and gender differences in /s/ in Glaswegian', Journal of the Acoustical
Society of America
- 'Should
phonologists trust their data? An empirical phonological study of Glaswegian',
Phonology
- 'A
sociophonetic investigation of the 'Scottish' consonants (/x/ and /hw/)
in Glaswegian', Journal of Sociolinguistics
- 'Speech
patterns in Glasgow', Journal of the Royal Statistical Society Series
A: Statistics in Society
- Letting
the data speak for themselves: The Glasgow speech project (collaborative
book)
The findings
will be presented to participating and interested schools during the autumn
of 2000, and will be incorporated into teacher-training materials used by
the principal applicant. The
project and its results have generated considerable interest in the local
and national media (Annexe 6). A press summary
has been released by Glasgow University.
(f)
Future research plans in this field
external
factors in accent change: does the media play a role?
The diffusion
of typically southern English features in the speech of the least mobile
informants poses an apparent problem for models of change based on accommodation
during face-to-face interaction. Recent reference to these features as ‘youth
norms’ raises the possibility of the media as a catalyst in their rapid
spread. However, to date there is no evidence to support or reject the role
of the media in accent change. Our next research project will tackle this
question.
- statistical
methods for quantitative sociolinguistics
Here
we have looked at exploratory techniques for compositional data analysis
as well as log-ratio linear analysis. Other techniques are available and
should be applied to this type of data. In addition, methodological issues
should be addressed by comparing our results with those that would be
obtained from using the VARBRUL logistic regression method, as well as
MCMC methods for multinomial probit models.
Accent
change in Glaswegian: main page
English
Language Research Groups
Department
of English Language
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