MétaCan
Menu
Back to cohort
Record W4380681296 · doi:10.7202/1100520ar

Towards Settler Responsibility in Conservation

2023· article· en· W4380681296 on OpenAlexaffvenue
Sharon Stein, Cash Ahenakew, Shyrlene Oliveira da Silva Huni Kui, Evan Bowness, Wilson Mendes, Steve Evans

Bibliographic record

VenueACME · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsTrent UniversityUniversity of British Columbia
FundersInstitute of Psychology, Chinese Academy of Sciences
KeywordsIndigenousRedressReciprocity (cultural anthropology)CommitPolitical scienceAccountabilityEnvironmental ethicsDenialColonialismSociologyPublic relationsLaw and economicsEnvironmental resource managementLawEcologySocial sciencePsychology

Abstract

fetched live from OpenAlex

This conceptual paper reviews recent efforts to confront colonialism in conservation, with an emphasis on the challenges and complexities that have emerged among settler organizations engaged in this work. We consider recent academic and grey literature in the field in order to map different approaches to conservation, including the emerging interface of Indigenous and western approaches. We also map different approaches to Indigenous engagement undertaken by settler conservation organizations, including representation, recognition, redistribution, and reparation. We suggest that regardless of their approach, in order to create the conditions for truly reciprocal collaborations with Indigenous Nations, settler conservation organizations would need to accept their responsibilities to interrupt and redress western conservation’s colonial foundations, support Indigenous sovereignty, rights, and resurgence (including by supporting Indigenous approaches to conservation), and commit to the difficult, long-haul work of reorienting their approach to relationships away from patterns of paternalism and extraction toward trust, respect, reciprocity, consent, and accountability.

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)0.021
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0130.060
Scholarly communication0.0150.010
Open science0.0020.016
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.181
GPT teacher head0.286
Teacher spread0.105 · 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 designTheoretical or conceptual
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

Citations9
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueACMESame topicCultural Heritage Management and PreservationFrench-language works237,207