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Record W2968852969 · doi:10.1558/jld.33437

When you're in with the in-crowd

2018· article· en· W2968852969 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Language and Discrimination · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsCarleton University
Fundersnot available
KeywordsNewspaperCritical discourse analysisOutgroupDiscourse analysisSociologyGroup (periodic table)LinguisticsPolitical scienceMedia studiesSocial psychologyPsychologyLaw

Abstract

fetched live from OpenAlex

This paper examines the discursive construction of the International Baccalaureate (IB) in a 1.5 million word corpus of Canadian newspapers. Combining corpus analysis with the Discourse Historical branch of Critical Discourse Analysis, the study aims to identify discursive strategies employed in the construction of an IB in-group and a non-IB out-group, and suggests they are similar to those evident in discourses of discrimination that marginalise or exclude the outgroup (Baker, Gabrielatos and McEnery 2013a; KhosraviNik 2010; Reisigl and Wodak 2001). While discourses of discrimination tend to be directed at minority groups, in this case, the minority group is the in-group, exhibiting uniformly positive qualities. As a result, a ‘dichotomous world of insiders and outsiders’ (Reisigl and Wodak 2001:105) is created, privileging one and disadvantaging the other. This paper seeks to problematise the seemingly uncritical acceptance and adoption of IB programs in Canada's publicly funded education system.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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