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Record W7099313540

TITLE Indigenous Women in a Canadian Teacher Education Program: Culture-Creators in Action.

2016· article· en· W7099313540 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDiverse Legal and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNature versus nurtureIndigenousCensusWork (physics)Teacher educationIndigenous educationCommunity education
DOInot available

Abstract

fetched live from OpenAlex

Traditional educational practices of Indigenous Canadians were aimed at cultural transmission. All adults were responsible for educating the young, but because children stayed with the women until puberty, women played the most significant role in transmitting the culture. Adults with certain gifts and talents looked for similar attributes in children and then had the responsibility to nurture those gifts and talents to fruition through mentoring. Data from the 1991 Canadian census show that Indigenous women tend to work in service-providing areas, echoing their traditional nurturing roles, with approximately four times as many women as men working in education-related jobs. A 3-year study of eight Ojibwe women enrolled in a teacher education program revealed a strong sense of cultural continuity. Their most frequently mentioned goals as educators involved a sense of community responsibility expressed as concern for the children, future generations, and well-being of the people. The immediate challenge for

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0370.006
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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