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Anishinabek Knowledge and Climate Disaster

2025· reference-entry· en· W4409408117 on OpenAlexaff
Kristi Leora Gansworth, Deborah McGregor

Bibliographic record

VenueOxford Research Encyclopedia of Natural Hazard Science · 2025
Typereference-entry
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsYork University
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

Abstract An Anishinabek-specific framing of climate-related problems and approaches highlights place-based examples of relationships affected by climate change. Policy framings that exclude and undermine Indigenous nations and communities in domestic and international contexts have dominated for generations in North America and elsewhere. While not being prescriptive, Indigenous approaches offer elemental considerations for inclusion of multiple. Innovative perspectives that can address problems caused by climate change and other environmental degradations. By drawing from Anishinabek Traditional Knowledge and peoples’ relationship to place, climate change is understood as a relational problem, through multiple angles that foreground Indigenous history and reality to bring insight on understanding responsibilities between species.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0050.007
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.334
Teacher spread0.304 · 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 teacher head, not a consensus.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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