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Record W4388570678 · doi:10.33137/tijih.v1i3.38258

Wind and the Wiingashk

2023· article· en· W4388570678 on OpenAlexaff

Bibliographic record

VenueTurtle Island Journal of Indigenous Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsKindnessIndigenousPerspective (graphical)AestheticsNatural (archaeology)Environmental ethicsSociologyPoetryService (business)HistoryVisual artsArtEcologyPolitical scienceLiteraturePhilosophyLawArchaeologyBusiness

Abstract

fetched live from OpenAlex

As a creative endeavour spurred on by the Natural Resources and the Environment from Indigenous Perspectives course in the Masters of Indigenous Relations program at Laurentian University, the story glimpses at life from the perspective of sweetgrass. Beginning life in fields of green, the story tells of the life of sweetgrass from its humble beginnings, the relationships it forms with the spirits that surround it, and the aspirations for a purposeful life that aims to be of service to others. With a focus on kindness and healing, the story and the subsequent poem look to a future that ventures to care for the earth and for others in a holistic way.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.961
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0140.006
Scholarly communication0.0050.004
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.003

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 head0.027
GPT teacher head0.303
Teacher spread0.276 · 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
Published2023
Admission routes1
Has abstractyes

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