MétaCan
Menu
Back to cohort

The Audacity of Affect: Gender, Race, and History in Linguistic Accounts of Legitimacy and Belonging

2009· article· en· W2145343514 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnnual Review of Anthropology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsWomen's and Gender Studies et Recherches FéministesUniversity of Toronto
FundersUniversity of Toronto
KeywordsAffect (linguistics)QueerSociologyLegitimacyRace (biology)Gender studiesCompassionCultural studiesNeoliberalism (international relations)AestheticsPolitical scienceSocial sciencePoliticsAnthropologyLaw

Abstract

fetched live from OpenAlex

This review considers research on language and affect, with particular attention to gender, that has appeared in the past two decades in ways informed by the recent effloresence of work on affect in feminist, queer, (post)colonial, and critical race studies. The review is selective: It focuses on a few key ways that recent research is responding to gaps identified in earlier research and opening up promising areas for future research. This review thus attempts to connect linguistic anthropological and discourse analytic studies more fully with contemporary debates in feminist, queer, antiracist, and postcolonial studies. In general, I look at the rise of more fully historical approaches; in particular, I look at (a) affect in imperial and other global encounters; (b) language, neoliberalism, and affective labor; and (c) terror and hate, compassion, and conviviality in public speech. It also considers why we are, at this particular moment, witnessing such interest in affect.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score0.823

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 studies0.0000.002
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 head0.036
GPT teacher head0.346
Teacher spread0.309 · 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