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Record W2804727580

Oh Canada, Whose Home and Native Land? Negotiating Multicultural, Aboriginal and Canadian Identity Narratives

2017· article· en· W2804727580 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Teaching and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNarrativeMulticulturalismIdentity (music)Framing (construction)Gender studiesNegotiationSociologyCurriculumNarrative inquiryPedagogyAestheticsSocial scienceHistoryArt
DOInot available

Abstract

fetched live from OpenAlex

Using autobiographical narrative inquiry methods I seek to explore how the juxtaposition of personal narratives of my children’s lived experiences, with identity narratives held by Aboriginal people and the dominant white society, facilitates or impedes the affirmation of my children’s identity as “multicultural” Canadians. How might such a framing lead to positioning minority children in the margins of social and educational contexts? I begin by telling a mother’s story of my Canadian ‘born and raised’ son’s experience in which he was caught between the dominant and historical narratives of residential schooling structured in Saskatchewan curriculum. I then move into discussing the challenges of the contested spaces of Canadian identity and complexity of negotiating multifaceted, complex, and hybrid identities. I conclude by offering a discussion of the often unexamined perspectives and practices of Canadian multiculturalism by opening a possibility for critical research in the teaching of the social sciences curriculum.

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.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.286
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.372
Teacher spread0.333 · 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