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Record W1535780529 · doi:10.7202/1069584ar

Aboriginal Social Work Education in Canada: Decolonizing Pedagogy for the Seventh Generation

2020· article· en· W1535780529 on OpenAlexvenueaboutno aff
Raven Sinclair

Bibliographic record

VenueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyDecolonizationSocial workPoliticsHarmSocial changeWork (physics)PedagogyEnvironmental ethicsGender studiesPolitical scienceSocial psychologyPsychologyLaw

Abstract

fetched live from OpenAlex

Aboriginal social work is a relatively new field in the human services, emerging out of the Aboriginal social movement of the 1970s and evolving in response to the need for social work that is sociologically relevant to Aboriginal people. Aboriginal social work education incorporates Aboriginal history and is premised upon traditional sacred epistemology in order to train both Aboriginal and non-Aboriginal social workers who can understand and meet the needs of Aboriginal people. The deficiencies of contemporary cross-cultural approaches and anti-oppressive social work education are highlighted as a means to emphasize the importance of socialwork education premised upon relevant history and worldview. The values and responsibilities that derive from Aboriginal worldview as the foundation for Aboriginal social work education are discussed in terms of the tasks that are impliedfor the educator and student of Aboriginal social work. Such tasks include self-healing, decolonization, role modeling, developing critical consciousness, and social and political advocacy. Aboriginal social work education, a decolonizing pedagogy directed to mitigating and redressing the harm of colonization at the practice level, is a contemporary cultural imperative.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0160.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.349
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 teacher head, not a consensus.

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

Citations160
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First PeoplesSame topicIndigenous Health, Education, and RightsFrench-language works237,207