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Record W4389850860 · doi:10.29173/af29497

Pour en finir avec la contre-culture settler : place à la contre-culture autochtone

2023· article· fr· W4389850860 on OpenAlexaffvenue
Isabelle Kirouac Massicotte

Bibliographic record

VenueALTERNATIVE FRANCOPHONE · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À ce jour, on a surtout étudié la contre-culture d’un point de vue occidentalocentriste et colonialiste, et ce sans reconnaître l’appropriation culturelle qui la caractérise pourtant, qu’il s’agisse des nombreux emprunts superficiels aux spiritualités orientales (Roszak 1995 [1969]) ou encore de l’adoption artificielle de modes de vie autochtones, que l’on a qualifiée, à tort, de « retour à la nature » (Deloria 2013). La contre-culture, dans sa signification véritable de remise en question des structures oppressives de la vie (le Blanc 2014), est intrinsèquement liée aux prises de parole autochtones des années 1970 et 1980. Pour Emma LaRocque (Crie/Métisse), puisque les littératures autochtones, en tant que forme d’expression collective, n’étaient pas possibles avant les années 1970 (2010 : 19), les écritures autochtones seraient l’histoire d’une contestation stratégique (2010 : 24). Plus encore, la littérature contestataire serait le canon des littératures autochtones (LaRocque 2010 : 25). C’est la dévalorisation colonialiste des cultures autochtones qui a généré une réponse contre-culturelle, un contre-discours autochtone qui, porté par la colère et la polémique, invite à une révision de plusieurs sources de savoir eurocentrées (LaRocque 2010 : 70 et 108). Avec cette contribution, j’espère parvenir à déconstruire la contre-culture settler et à esquisser les contours de ce que sont les contre-cultures littéraires autochtones.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.022

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 head0.018
GPT teacher head0.334
Teacher spread0.316 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes2
Has abstractyes

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