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Record W4403083210 · doi:10.1111/csp2.13224

Cultural keystone species and their role in biocultural conservation

2024· article· en· W4403083210 on OpenAlexafffundabout
Jessica Lukawiecki, Faisal Moola, Robin Roth

Bibliographic record

VenueConservation Science and Practice · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of CanadaParks Canada
KeywordsKeystone speciesGeographyConservation biologyAnthropologyNature ConservationEnvironmental ethicsEcologySociologyBiologyEcosystemPhilosophy

Abstract

fetched live from OpenAlex

Abstract Biocultural diversity is declining globally. Cultural keystone species (CKS) are one promising pathway by which biocultural approaches to conservation, which seek to protect both biological and cultural diversity, might be implemented in practice. We traced the evolution of the CKS concept in relation to Indigenous Peoples in the Canadian context through a scoping review of the literature from 2000 to 2021 and nine in‐depth interviews with Indigenous Guardians and knowledge holders. Emergent themes in this scoping review indicate that CKS, rather than being viewed as objects for conservation, can be understood as ongoing relationship(s) between the cultural and ecological, which are intimately tied to language, knowledge, practices, and places in ways that are deeply interconnected. One cannot protect CKS, therefore, without also protecting the relationships that people (or groups of people) have to that species. We conclude by recommending further investment in policies and programs that support enabling mechanisms for Indigenous Peoples to maintain, manage, and restore relationships with CKS.

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)0.008
metaresearch head score (Gemma)0.015
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 score0.533
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0080.017
Scholarly communication0.0090.004
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.106
GPT teacher head0.433
Teacher spread0.327 · 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

Citations13
Published2024
Admission routes3
Has abstractyes

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