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Record W2105118179 · doi:10.14430/arctic4293

Gender and Resource Co-Management in Northern Canada

2013· article· en· W2105118179 on OpenAlexaffvenueabout
David Natcher

Bibliographic record

VenueARCTIC · 2013
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsRepresentation (politics)Equity (law)Settlement (finance)Gender equityResource management (computing)GeographyResource (disambiguation)Land managementEnvironmental resource managementPolitical scienceBusinessEconomic growthArchaeologyAgricultureEconomicsFinanceLawPolitics

Abstract

fetched live from OpenAlex

An inventory of the nominal representation of men and women on northern co-management boards in the Yukon, Northwest Territories, and Nunavut identified a total of 34 co-management boards. Of their total of 210 members, 176 (84%) were males and 34 (16%) were females. Nine boards were composed exclusively of men, and 18 boards had only a single female representative. The land and resource management regimes created through the settlement of comprehensive land claims have afforded Aboriginal governments equitable representation in co-management but have not promoted gender equity in board membership.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.173
Teacher spread0.166 · 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

Citations31
Published2013
Admission routes3
Has abstractyes

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Same venueARCTICSame topicMining and Resource ManagementFrench-language works237,207