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Record W3206974923

Animals in Indigenous Spiritualities: Implications for Critical Social Work

2017· article· en· W3206974923 on OpenAlexaff
Melissa Marie Legge, Margaret Robinson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsDalhousie UniversityMcMaster University
Fundersnot available
KeywordsSpiritualitiesIndigenousSpiritualityScholarshipEnvironmental ethicsSociologyConversationSocial workSocial sciencePolitical scienceMedicineEcologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This article explores the roles of other-than-human (OTH) animals in the spiritualities of Indigenous Canadians, and the implications of these roles for anti-oppressive or decolonial social work practices. To respond to the needs of the people with whom they work, social workers must look beyond the Eurocentric roots of the profession and consider other ways of knowing and doing. Hart (2009) points out that spirituality is central to an Aboriginal approach to social work. Despite this, the implications of spirituality for social work have not been centred in scholarship. The study of OTH animals in social work is an emerging field, and we hope this paper will contribute to a broad and nuanced conversation about Indigenous spiritualities, animal relationships, and critical social work.

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)0.032
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0240.140
Scholarly communication0.0160.014
Open science0.0030.015
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0060.000

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 head0.067
GPT teacher head0.451
Teacher spread0.384 · 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

Citations15
Published2017
Admission routes1
Has abstractyes

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