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Record W3213435984 · doi:10.1139/cjb-2021-0052

‘Frog’s umbrella’ and ‘ghost’s face powder’: the cultural roles of mushrooms and other fungi for Canadian Indigenous Peoples

2021· article· en· W3213435984 on OpenAlexaffvenueabout
Nancy J. Turner, Alain Cuerrier

Bibliographic record

VenueBotany · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversité de MontréalUniversity of Victoria
Fundersnot available
KeywordsIndigenousCarvingTraditional knowledgeBiologyFace (sociological concept)BotanyHistorySociologyEcologyArchaeologySocial science

Abstract

fetched live from OpenAlex

This paper describes the importance of fungi to Canadian Indigenous Peoples. Based on collaborative research with Indigenous knowledge holders and a review of literature, approximately 30–40 fungi are documented as having cultural roles for Canadian Indigenous groups. Some peoples have not eaten mushrooms traditionally, whereas others have a history of harvesting, cooking, storing, and trading mushrooms for their diets. Perennial tree fungi have application as tinder, fire starter, and for carving masks. They also have a range of medicinal uses, some being consumed as medicinal teas, and others applied externally, in some cases by moxibustion to relieve underlying pain. Puffballs also have a range of material and medicinal applications, especially for stopping haemorrhages. Fungi are widely known for spiritual or sacred associations and play key roles in rituals, ceremonies, stories, and beliefs, which are also reflected in the names of some species. The antiquity of peoples’ relationships with fungi is likely very deep, extending back to ancient Asian or European ancestors of Pleistocene times, whose descendants on those continents have used them in similar ways. Fungi continue to play important roles for Indigenous Peoples today, with some being harvested commercially, and many still used in traditional ways.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.221
Teacher spread0.205 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations12
Published2021
Admission routes3
Has abstractyes

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