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Living on the Land: Indigenous Women’s Understanding of Place

2016· book· en· W3027580243 on OpenAlexaboutno aff

Bibliographic record

VenueAthabasca University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyAging in placeSociologyEnvironmental planningGerontologyMedicineEcologyBiology

Abstract

fetched live from OpenAlex

By sharing their stories and knowledge, Naskapi women have played a key role in the reconstruction of the cultural and ecological heritage of their people.The Naskapi, who live in the subarctic region of the province of Québec, today represent about nine hundred people, most of whom reside in the village of Kawawachikamach, located about fifteen kilometres from the former mining town of Schefferville, along the 55th parallel (see map 3.1).The first written reports of the Naskapi date from the late eighteenth century.It appears that, at the time of the Europeans' arrival, the peoples to whom these reports refer did not form a single, integrated group rather they were several groups of hunters who ranged across the northern portion of the Québec Labrador peninsula (Lévesque, Rains, and de Juriew 2001).The evidence suggests that these were families or groups of hunters of Innu origin who, sometime around the mid-eighteenth century, had apparently migrated to the hinterland of the subarctic region from the North Shore of the St. Lawrence (where several Innu bands had settled).Initially few in number, the Naskapi are said to have comprised about three hundred people around 1830 (Lévesque et al. 2001).

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.029
Scholarly communication0.0090.008
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.233
Teacher spread0.196 · 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

Citations122
Published2016
Admission routes1
Has abstractyes

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