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Record W2003528292 · doi:10.1080/17447143.2011.594512

Discourse analysis in international development studies: Mapping some contemporary contributions

2011· article· en· W2003528292 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Multicultural Discourses · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsUnderdevelopmentMainstreamSociologyDiscourse analysisWork (physics)Field (mathematics)Social scienceEpistemologyPolitical scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

Abstract This paper critically examines work conducted by discourse analysts working in international development studies (IDS). During the 1990s, a number of authors introduced the study of speech, text and image as new paths toward understanding the causes of underdevelopment. This article highlights the authors who have worked on discourses on development and underdevelopment expressed by national and international governmental agencies and non-governmental organizations, scientific disciplines and specialized knowledge fields (including IDS). We focus in particular on the work of Chandra Mohanty, Arturo Escobar, James C. Scott, James Ferguson, Gilbert Rist and a selection of gender studies scholars. Beyond their differences, these discourse analysts in IDS share a rejection of mainstream analysis of underdevelopment. However, these authors remain marginalized in their own field of study and their work ought to be circulated in general discourse analysis circles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.107
GPT teacher head0.397
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it