MétaCan
Menu
Back to cohort
Record W2137663873 · doi:10.1080/14681360000200080

Where is here?

2000· article· en· W2137663873 on OpenAlex
Naomi Norquay

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

VenuePedagogy Culture and Society · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsYork University
Fundersnot available
KeywordsEntitlement (fair division)MulticulturalismIdentity (music)ImmigrationEthnic groupGender studiesSociologyPoliticsRace (biology)Political scienceLawPedagogyAestheticsAnthropology

Abstract

fetched live from OpenAlex

Abstract Taking John Willinsky's observation that in Canadian identity politics, the question ‘who am I?’ often necessitates the additional question ‘where is here?’ (Willinsky, 1998), this article examines excerpts from interviews with a group of teacher education students in order to explore how they used family (hi)stories about ‘country of origin’ in the construction of their identities. Making ‘country of origin’ problematic, the article also examines the limits and possibilities of being and becoming Canadian. ‘Where are you from?’ complicates and challenges the entitlement to belong. Drawing on critiques by Canadian educators, the article challenges the widely held significations given to Canadian immigration and to official policies of multiculturalism. By juxtaposing data from eight interviews, the issue of racial identity is explored, in terms of how it appears or does not appear in the stories the students tell. These juxtapositions highlight the unofficial intersections between Canadian identity, race and ethnicity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.524
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.053
GPT teacher head0.380
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