MétaCan
Menu
Back to cohort
Record W2972756590 · doi:10.7202/1062132ar

Pour ramener l’été

2019· article· fr· W2972756590 on OpenAlexvenueaboutno aff
Chelsee Arbour, Napes Ashini, A. J. Jenkinson, Stephen Loring

Bibliographic record

VenueRecherches amérindiennes au Québec · 2019
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

L’histoire des Innus dans la péninsule du Québec-Labrador remonte à au moins 8000 ans, comme en témoignent les « légendes » innues (atanukana) et l’archéologie. Même anémiées par les millénaires, les histoires qu’on nous raconte, comme Kautuasukuaniskuanast (histoire du petit garçon qui a ramené l’été et qui est devenu le Bruant à couronne blanche), sont des paraboles de l’histoire innue qui documentent l’arrivée des ancêtres innus à l’époque périglaciaire dans le Nitassinan. Les institutions coloniales se sont appropriées l’histoire récente. Elles présentent le passé (comme le présent et le futur) comme appartenant aux nouveaux arrivants français (mishtikushuat) et britanniques (akaneshauat). Les Innus sont totalement absents de cette histoire sauf comme figurants d’un tableau héroïque mettant en vedette d’intrépides « explorateurs » et aventuriers français et britanniques. L’archéologie peut contribuer à « ramener l’été » et peut-être permettre de raconter l’histoire innue non écrite en reconnaissant et en corrigeant le déséquilibre du pouvoir entre les versions occidentale et autochtone du passé.

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)0.005
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.515
Threshold uncertainty score0.964

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0140.009
Scholarly communication0.0110.005
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0750.022

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 head0.113
GPT teacher head0.383
Teacher spread0.270 · 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".

Quick stats

Citations2
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueRecherches amérindiennes au QuébecSame topicIndigenous Studies and EcologyFrench-language works237,207