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Trouver des portes de sortie : à partir des futurités noires

2023· article· fr· W4392409487 on OpenAlexaboutno aff
Kharoll-Ann Souffrant, Chloé Savoie-Bernard

Bibliographic record

VenueRevue Possibles · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

peut sembler, ds le dpart, un chiasme de la pense. Ces intellectuels -blancs, htrosexuels, il va presque sans dire -avaient le nationalisme comme projet pour la province du Qubec. Ils prouvaient le dsir que ce lieu minoritaire et francophone soit un jour autonome du reste du Canada, un projet qui, en 2023, nous parat de plus en plus lointain en regardant les rsultats parfois catastrophiques du Parti Qubcois dans les sondages. Nos possibles, aujourd'hui, diffrent, et les futurs que nous souhaitons mettre en oeuvre galement. notre sens, si le nationalisme qubcois a moins la cote aujourd'hui, c'est sans doute en partie parce qu'il nous apparat s'tre repli sur lui-mme, et ce, dans une optique de clbrer les Qubcoises dites de souche plutt que d'tre dans une relle vise mancipatrice et inclusive pour toutes les Qubcoises, peu importe leur provenance. Par ailleurs, plusieurs personnes issues de la diaspora se sont senties trahies lors des derniers rfrendums prcisment pour cette raison : pensons la dclaration-choc de l'ex-premierministre, Jacques Parizeau, au rfrendum de 1995 portant sur la souverainet du Qubec, qui imputait l'chec du oui l'argent, puis des votes ethniques . Plusieurs analystes ont tent de contextualiser les propos de Parizeau en les attribuant la colre, la maladresse ou encore un profond sentiment de dception face l'effondrement de son rve politique de

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.369
Threshold uncertainty score0.734

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.010
Scholarly communication0.0110.007
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0330.004

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 head0.088
GPT teacher head0.345
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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