approaching academic language in context paul thompson for the university of reading
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Approaching academic language in context
Paul Thompsonfor the University of Reading
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By way of introduction
The relationship between text and context
Variation in academic discourse
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Academic discourse
‘primarily expository writing with the intent to demonstrate knowledge within an academic setting’
‘I struggle with how to balance the personal and the “academic” in my class. I used to ask for more personal experience papers, but realized that there is an academic discourse that students need to learn in order to succeed in college.’ [http://tinyurl.com/ykts24k]
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A corpus of assessed student writing at university level
Texts collected at Warwick, Reading and Oxford Brookes University
Funded by Economic and Social Research Council of England (ESRC)
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6,506,995 words 2,896 texts2,761 assignments1,039 contributors30+ disciplines 13 genre families4 levels of study
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Distribution of Genre Families
194
322
93
35
1238
114
214
35
362
75
40
76
61 case study
critique
design specification
empathy writing
essay
exercise
explanation
literature survey
methodology recount
narrative recount
problem question
proposal
research report
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Engineering Case study (14%)Critique (12%)Design specification (13%)Methodology (34%)
History Essay (98%)
Different genres for Engineering students,
different audiences
Self constructed in different ways – self as actor, self
as reflecter, self as researcher/professional
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Year Engineering
1 I will use, I have decided, I obtained
2 I was, I have begun, I found, I believe
3 I propose, I believe, I recommend
Year History
1 I have V+ed, I would argue
2 I will argue, I have suggested/mentioned
3 I will explore, I would argueWriter as arguer
Writer as actorWriter as reflecter
Writer as professional
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BASE Corpus
160 lectures, 40 seminarsArts and Humanities; Life Sciences;
Physical Sciences; Social Scienceswww.sketchengine.co.uk/open
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Distinctive of spoken academic discourse
thing, word, point, question, number, fact, example nouns from the ‘common stock’ (Swales 2004)
BASE corpus list also contains ‘sort’, ‘kind’ and ‘lot’,
Frequent use of labelling nouns (Francis 1994) points to the high level of reflexivity
Use of sort, kind, thing and lot suggest a high degree of use of ‘vague language’ (Channell 1994)
Lectures are characterised by high use of vague language, and of words that organise the discourse and the events themselves.
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Top 4-grams in the BASE lectures
i m going to we re going to i don t know you re going to it s it s you ve got a s going to be the end of the is going to be you ve got to
it s going to to be able to at the end of if you want to i think it s if you look at if you ve got in the U K the way in which re going to be
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Subject lectures
Economics:13 lectures in Economics (or Agricultural
Economics) categoryFall into both Physical Sciences and
Social Sciences domains (8:5)Philosophy:
7 undergraduate lecturesDifferent modules
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Key words [Economics]
Predominantly nouns (‘the’ = key):capital, choice, commodity, constraint, cost,
curve, debt, demand, elasticity, market, profit, supply, trade, variable
Verbs: let, represent, maximize, consume
Mathematical symbols lambda, x, delta
Pronouns: we, they, their
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Key words [Philosophy]
Names: Kant, Hume, Frege Adjectives: moral, human, secondary,
essential, primary Nouns: duty, ideas, sense, action, motives,
nature, cognitivism, perception, empiricism Pronouns: he, his Verbs: say, mean, does, think, resemble,
explain, know, claim [verbal, mental]
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Verbs
Economics Infinitive forms of be and do, -ing form of
lexical verbswant/need to be, going to be, might be
Philosophy3rd person present tense forms of lexical
verbs, be and doresembles, believes, thinks, says
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Variation
Between disciplinesBetween genresBetween levels
Corpus used as evidence of discourse practices
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Research in the 60s and 70s
Exhaustive descriptions of the register of academic text (primarily scientific, expert production and written). Focus on texts, rather than on the people and activities that produced them
Specification of the structures and items to be learned Academic text as exposition Late 70s, the emergence of interest in
Oral discourse Discourse analysis Rhetorical models Rules of use
Source: Swales 2001
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Research (Lynne Flowerdew 2002)
Moving from:
Studies of academic register (eg Barber 1962, Halliday
et al 1964, Huddleston 1971), at the lexicogrammatical level, chiefly statistically driven
To:
Studies at a discoursal or genre level, that focus more on patterning, moves, functions and phraseology
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Focus
“Focus on texts, rather than on the people and activities that produced them”
In the analysis of academic discourse in the last decade, the focus has still been primarily on texts, but more attention is given to the people and activities that produced them than was previously the case
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New approaches
The growth of genre theories and models since the eighties
The increased use of corpus analysis and the development of academic corpora Corpus as collection of texts? Corpus as balanced, representative sampling? Evidence of what actually goes on
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Genre
First use of term in 1981: Tarone et al, Swales
Swales (1990)CARS modelRA introductionsConcepts of discourse community, and
communicative purposeTexts as socially situated – writers employing rhetorical strategies, the audience as projected
Move 1: Establishing a territory Move 2: Establishing a niche Move 3: Occupying the niche
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Variation in genre
Genre analysis involves the study of texts within context, with communicative
purpose(s) as a privileged criterion.
Texts serve purposes within communities and communities adapt forms to suit
purposes.
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Coe (1987)
Form and content cannot be separatedForms adapt to contentContent becomes defined through form
Genres can change and vary according to the content to be expressed and the rhetorical aims of the writer, within the bounds of the expectations and rules of the community.
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Two approaches to genre
Grounded in the textualGrounded in the contextual
Textual ------------------------ContextualAustralian Systemic
Functional Approach
Swales and Dudley-Evans move analysis with reference
to specialist informants
North American New Rhetoric
Hyon 2001
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Synergy
“Quantitative, correlational work serves two functions alongside ethnographic work to identify not only phenomena general to many genres, but also significant patterns of meaning-making that might not emerge from ethnography alone” (Yunick 1997:326)
Yunick suggests that a quantitative approach identifies recurrent language patterning across texts within a genre and also between genres. This can indicate to what extent phenomena are genre-specific and to what extent they are more widespread. A quantitative approach can be combined with qualitative methods of data analysis to produce a rich description of situated textual practices.
What degree of situatedness?
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Swales’s alternatives
Should we privilege the views of the writers … as to the meaning and function of particular texts but also as to the definitions of the genres themselves?
Should we focus our interpretive spotlight on the … readers?
Does the primary interpretive responsibility fall to the expert?
Does a corpus of texts … permit us to … exclude … most of the human informants?
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Disciplinary variation (Thompson 2005)
Looked at how PhD writers in three disciplines use citations (Agricultural Botany, Agricultural Economics and Psychology)
Citations distinguished firstly on formal grounds (is it integral or non-integral?) then on limited functional grounds (does it identify who did something, or who is the source of the proposition? Do they refer the reader to another text for further information? Etc)
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The corpus
8 Agricultural Botany theses (average 31,000 words)
8 Agricultural Economics theses (average 63,500 words)
4 Psychology theses (average 50,000 words)
All native speaker writers, Reading University, 1989-1998
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Results of analysis: 1
Agricultural Botany writers use non-integral citations more than integral (a ratio of 2:1)
Hardly any quotation (6 per 100,000 words) – cf Ag Econ (45 per 100,000 words) and
Psychology (34 per 100,000 words) mainly use the Source (3.4 per 1,000 words), Verb-controlling (2.0 per 1,000 words) and Ident (1.7 per 1,000 words) types of citation
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Results of analysis: 2
Agricultural Economics writers use integral citations more (6:4). They tend to foreground the researchers and the models that they have developed
use Verb-controlling (1.9 per 1,000 words), Source (1.25 per 1,000 words) and Naming (0.95 per 1,000 words)
Higher density (9 per 1,000 words) Cf, AB 5.25, and Psychology 8.5 [lower than Hyland 2000]
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Results of analysis: 3
Psychology writers use integral citations more than non-integral (12:5). They tend to foreground the researchers and the models that they have developed
Mainly Verb controlling (21%) and Ident (11%); Non-cit = 28%; many extended citations [explaining model or study]
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Reporting verbs: Top 10 as percentages
AB AE PS
report 13 use/employ 7 find 11find 12 find 7 report 10show 10 suggest 5 suggest 7suggest 5 describe 4 use 6describe 5 note 4 show 5use 4 estimate 3 propose 4demonstrate 4 provide 3 argue 3review 3 propose 3 note 2propose 3 report 3 point out 2discuss 2 refer 2 conclude 2
60 42 52
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0
2
4
6
8
10
12
14
16
18
c1 c2 c3 c4 c5 c6 c7
TAE-001 TAE-002 TAE-003 TAE-004 TAE-005 TAE-006 TAE-007 TAE-008
0
5
10
15
20
25
30
c1 c2 c3 c4 c5 c6
TAB-001 TAB-002 TAB-003 TAB-004 TAB-005 TAB-007 TAB-008 TAB-009
0.0
50.0
100.0
150.0
200.0
250.0
TPS-001 TPS-002 TPS-005 TPS-006
Citation density by discipline
Ag Econ
Psychology
Ag Botany
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Petric (2007)
A corpus of 16 master’s theses written in English at an English-medium university in Central Europe, written by second language writers from 12 countries in Central and Eastern Europe
Gender studies 8 high grade; 8 low grade Categories based on Thompson (2001) but
adapted to perceived functions
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Findings
mainly attribution in both high and lowrange of rhetorically more complex
citation types requiring analytical skills in the high-rated theses
in low-rated theses knowledge display is overemphasised – knowledge telling rather than knowledge-transforming
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Harwood (2008): Interviews
Starts with interviews with subject lecturers (Sociology and Computer Science) to identify the functions of citations (an emic approach)
Categories derived:
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Results
Quantification from the writers’ comments (tho’ researcher applies his categorisation)
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The specialist analyst
The subject specialists in this case are the writers of the articles and they are seen to be the ones who can explain the functions of the citations. What is the role of the researcher?
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Fløttum et al 2007
Contrasts on two planes 3 disciplines:
medicine, linguistics and economics
3 languages: English, French and Norwegian
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Cultural identities in academic discourse
Corpus: 450 articles (3 million words) 1992-2003.
Focus on manifestation of the authors in the text, and the presence of the voices of othersFirst person and indefinite subject pronounsVerbs combined with these pronounsMarkers of epistemic modalityArgumentative connectivesMetatextual expressionsBibliographical references
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Four settings
1. A national or native language-based writing culture setting, developed within the general education system *
2. The academic world in general, reflecting values that transcend national boundaries
3. The discipline
4. Genre and discourse community
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Disciplinary differences
Author present?
Argumentation?Research status?
Author persona?
Medicine No Implicit Completed Researcher
Economics Yes Implicit On-lineResearcher and text guide
Linguistics YesExplicit, polemical
On-line
Researcher, arguer and text guide
Authors of research articles tend to write more like their disciplinary colleagues
writing in other languages than like their language-community co-members writing
in other disciplines
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Language differences (tendencies)
Author present
Reader Polemical Pronoun
English Overtly Reader-friendly Relatively I
Norwegian Overtly Reader-friendly Strongly we
FrenchRelatively absent
Little guidance offered
Covertlyon
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Fløttum et al (2006:48)
The interpretation of the observed (cross-linguistic, cross-disciplinary and individual) variation in the corpus is without doubt the most difficult part of the analysis. Explanations can be sought in terms of the language systems, national or linguistic writing cultures, disciplinary writing traditions, text types, objects of study etc ...
We do not contend to be in possession of full explan-ations of the data (or anything close to such a thing). We do, however, consider the large number of new empirical findings to contribute in valuable ways to the larger picture of academic discourse and varieties thereof.
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A corpus-driven approach
Heuboeck investigating Masters dissertations in English, French and German
3 disciplines: Philosophy, History and Literature
Interviews with staffExploration of communicative
responsibility
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Textual investigations
What is possible given the large quantities of dataSyntactical complexityLexical diversityUses of metadiscourse
Identifying the markers by reading the texts, and then looking to see what lexical environments these markers appear in when they perform the given function
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Interviews
What are the expectations of lecturers in the different educational traditions?
What constitutes good writing in the discipline?
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Data collection/selection: how much?The status of text / contextThe researcher and the participantThe problems of interpretation