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Record W4399828751 · doi:10.32920/26052550

Improving Our Relationship With Indigenous Communities in Relation to the Environment

2024· preprint· en· W4399828751 on OpenAlexaffabout
Justin Chander

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsRelation (database)IndigenousGeographyEnvironmental planningBusinessPolitical scienceComputer scienceEcologyData miningBiology

Abstract

fetched live from OpenAlex

This purpose of this paper is to flesh out twelve case studies under the guidance of the Marc G. Stevenson paper, "The Possibility of Difference: Rethinking Co-Management" on Ontario utilizing nine conclusions turned into topics. In it, Stevenson describes successes and failures in working with many different Indigenous communities in relation to the environment and the management of them. Overall, it shows, specifically in Ontario, a number of areas where there can be significant improvement and addressing of systemic problems, as well as progress made on present relationships, and what specifically is working in them. The intent of this paper is to further contribute to a better understanding of what may be done to improve existing relationships with Indigenous communities, and practices surrounding the environment. It will hopefully aid in future work on such topics, as an ongoing effort to do better in the understanding and respect of Indigenous communities and relationship with the environment.

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)0.006
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.890

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0370.030
Scholarly communication0.0060.004
Open science0.0010.010
Research integrity0.0020.003
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 head0.066
GPT teacher head0.321
Teacher spread0.254 · 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
Published2024
Admission routes2
Has abstractyes

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