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Record W2005733300 · doi:10.1075/jls.3.1.02mur

To feel the truth

2014· article· en· W2005733300 on OpenAlexaffabout
David A. B. Murray

Bibliographic record

VenueJournal of Language and Sexuality · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsYork University
Fundersnot available
KeywordsFeelingPlaintiffRefugeeSexual orientationGatekeepingSociologyCredibilityNarrativeTerminologySocial psychologyPsychologyIdentity (music)Gender studiesLawPolitical scienceAestheticsLinguistics

Abstract

fetched live from OpenAlex

In this paper I explore how adjudicators in the Canadian refugee determination system assess sexual orientation refugee claims. By focusing on discourse and terminology of questions utilized in the hearing (in which the refugee claimant answers questions posed by the Immigration and Refugee Board (IRB) Member), I will outline how these questions contain predetermined social knowledge and thus operate as a cultural formation through which particular arrangements of sexual and gendered practices and identities are privileged. However, documents and interviews with IRB staff reveal the presence of a ‘gut feeling’ or ‘sixth-sense’ in determining the credibility of a claimant’s sexual orientation. While some may argue that these feelings represent a level of sensitivity that humanizes the decision making process, I argue that they reveal adjudicators’ application of their own understandings and feelings about ‘authentic’ sexual identities and relationships derived from specific cultural, gendered, raced and classed experiences, which, in effect, re-inscribe a homonormative mode of gatekeeping that may have profound consequences for a claimant whose narrative and/or performance fails to stir the appropriate senses.

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.

How this classification was reachedexpand

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)0.002
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 score0.745
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.338
Teacher spread0.321 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2014
Admission routes2
Has abstractyes

Explore more

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