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Record W2682631033 · doi:10.1177/1177180117714413

Invitations to dignity and well-being: cultural safety through Indigenous pedagogy, witnessing and giving back!

2017· article· en· W2682631033 on OpenAlexaffabout
Catherine Richardson, Jeannine Carrière, Vicky Boldo

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIndigenousDignityConceptualizationMulticulturalismHistorical traumaCultural safetyPedagogySociologyColonialismEmancipationPsychologyPolitical scienceLawPsychotherapistPolitics

Abstract

fetched live from OpenAlex

In this article, three Métis authors, engaged in human service, share their conceptualization of cultural safety in educational settings. Their examples pertain more specifically to learning moments where Indigenous pedagogy is used to convey aspects of the colonial history and various forms of violence towards Indigenous peoples in Canada. In cases where there is a diverse or multicultural learning group, housed within a dominant Euro-Canadian culture, cultural safety can be designed to create a learning environment that promotes increased trust, sharing and exploration of “risky subjects”. This article is structured around a presentation of a pedagogy developed by Jeannine Carriere and Cathy Richardson in an Indigenous cultural sensitization training for child and youth mental health practitioners in British Columbia. Their approach encircles first-person testimony shared by Vicky Boldo, provides a structure for witnessing such testimony and then invites feedback from Vicky in relation to cultural safety for those who educate from Indigenous perspectives. The authors address the issue of backlash and White guilt that are often evoked when truths about violent histories are brought to the fore.

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, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.001
Scholarly communication0.0010.003
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 head0.034
GPT teacher head0.399
Teacher spread0.364 · 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

Citations16
Published2017
Admission routes2
Has abstractyes

Explore more

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