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Record W1848515701 · doi:10.1017/s1326011100004014

Centring Aboriginal Worldviews in Social Work Education

2005· article· en· W1848515701 on OpenAlexaffabout
Cyndy Baskin

Bibliographic record

VenueThe Australian Journal of Indigenous Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSociologyWork (physics)Relevance (law)Indigenous educationColonialismPedagogyDecolonizationTheme (computing)IndigenousSocial workSocial sciencePolitical sciencePoliticsEngineering

Abstract

fetched live from OpenAlex

Abstract As Aboriginal peoples gain more access to schools of social work, the academy needs to respond to their educational needs. This involves incorporating Aboriginal worldviews and research methodologies into social work education. This paper focuses on one definition of worldviews according to Aboriginal epistemology and implements an anti-colonial discursive framework in its analysis of education. It also critiques both the role of social work in the lives of Aboriginal peoples and the goals of social work education. Through the findings of a recent research project with Aboriginal social work students in Ontario, Canada, it raises key components that need to be addressed in the academy and provides ways in which this can be achieved. The overall theme flowing through this paper is that of decolonisation whereby reclamation of the belief that all peoples of the world have much to offer one another and life is a reciprocal process comes to the surface. In addition, the paper stresses the importance of this content being taught to all social work students and its relevance to all areas of Indigenous humanities.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.410
Teacher spread0.373 · 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
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

Citations7
Published2005
Admission routes2
Has abstractyes

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