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Record W638945724

Voice of the People on the Re-Location Issue: Kashechewan First Nation, Ontario, Canada

2015· article· en· W638945724 on OpenAlexaffabout
Emily J. Faries

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Sudbury
Fundersnot available
KeywordsGovernment (linguistics)ConvictionCitizen journalismPublic administrationPolitical sciencePublic relationsSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

When a federal government report recommended that the community of Kashechewan First Nation be relocated to Timmins Ontario, the community leadership decided to conduct its own community consultations. Direct and meaningful input from the community was the focus of this community-based initiative involving all age groups. This participatory research project was headed and conducted by Cree people who worked as a team to ensure that all community members had the opportunity to become involved in expressing their thoughts and aspirations for their traditional lands. The results strongly indicate the deep connection that the people have for their ancestral homelands. The community-driven endeavour reflects the determination and conviction of the people to protect their homelands as it is their sacred responsibility. Although there has been no movement on the side of the federal government, this community-driven process has been an empowering experience for the people.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.086
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0420.006
Scholarly communication0.0060.002
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0130.001

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 head0.016
GPT teacher head0.251
Teacher spread0.235 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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