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Record W4399845417 · doi:10.1515/9782763732022

Kapak!

2016· book· id· W4399845417 on OpenAlexaboutno aff
Mathieu d’Avignon

Bibliographic record

Venuenot available
Typebook
Languageid
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

Dans cette province dont la devise est Je me souviens, on a longtemps oublié que l'histoire du Québec est aussi l'histoire des nations autochtones, et que chacune a la sienne. Sans l'accueil et la contribution des Amérindiens, la société québécoise actuelle n'existerait pas. Premières Nations et Québécois partagent un héritage. Notre héritage commun, c'est notre existence. Notre existence, c'est l'histoire en mouvement, une infime partie du patrimoine biologique, culturel, linguistique, matériel et immatériel de l'humanité qu'il importe de préserver. Kapak ! Nous sommes tous débarqués à Québec raconte une histoire partagée et des alliances. Elle rappelle l'hospitalité des Amérindiens. Elle expose leurs épreuves. Elle illustre leur résilience. Elle envisage le devenir. "Pour l’historien, il importe pourtant de reconnaître que, « sans l’accueil et la contribution des Amérindiens, la société québécoise actuelle n’existerait pas ». Joliment illustré, ce petit catalogue revisite un héritage pour nous inciter à renouer avec l’amitié interculturelle de nos origines." Louis Cornellier, Le Devoir «Le travail de recherche de Mathieu d’Avignon et sa collaboration avec l’Arrondissement permettent d’avoir accès à un portrait émouvant de cette histoire commune, écrite au fil des métissages et des échanges de toutes sortes.» Rémy Normand, membre du comité exécutif, président de l’Arrondissement de Sainte-Foy–Sillery–Cap-Rouge.

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)0.001
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.966
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0080.002
Scholarly communication0.0090.007
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.4590.344

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 head0.013
GPT teacher head0.219
Teacher spread0.206 · 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
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
Published2016
Admission routes1
Has abstractyes

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