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Record W3024355544 · doi:10.1522/revueot.v29n1.1132

Lien au territoire selon les générations chez les Anicinapek et les Cris

2020· article· fr· W3024355544 on OpenAlexaffvenueabout
Véronique Landry, Hugo Asselin, Carole Lévesque

Bibliographic record

VenueRevue Organisations & territoires · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’objectif de cette recherche exploratoire est d’aborder la triple occultation (ruralité, autochtonieet jeunesse) vécue par les jeunes autochtones en milieu rural en documentant les manifestations des troisaspects du lien au territoire (émotionnel, cognitif et fonctionnel) selon les générations dans deux communautésautochtones au Québec. L’appartenance au territoire (aspect émotionnel) est présente à tous les âges, maisselon une hiérarchie différente entre forêt, communauté et ville. Toutes les générations fréquentent la forêt,mais à des moments différents et pour y pratiquer des activités différentes. Le chez-soi des jeunes est la communauté, tandis que celui des aînés, la forêt. L’aspect cognitif se reflète par la perception de menace face à la dégradation du territoire, particulièrement chez les aînés. Quelques jeunes ont un faible lien au territoire, probablement parce que cette période de la vie est caractérisée par une quête identitaire. Toutes les générations pratiquent des activités traditionnelles (aspect fonctionnel), mais de façon différente.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.707

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.048
GPT teacher head0.265
Teacher spread0.217 · 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 designQualitative
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

Citations5
Published2020
Admission routes3
Has abstractyes

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