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Record W2973166407 · doi:10.17953/1545-0317.15.1.1

Asian Canadian Studies as an Emancipatory Project

2017· article· en· W2973166407 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAAPI Nexus Policy Practice and Community · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsRacializationRacismMulticulturalismPolitical scienceContext (archaeology)Neoliberalism (international relations)Public administrationGender studiesSociologyRacial equalityDiversity (politics)Economic JusticeSocial justiceMedia studiesSocial scienceLawRace (biology)History

Abstract

fetched live from OpenAlex

With the rise in global neoliberalism and right-wing populism, higher education in Canada is at the forefront of the battleground for racial equality, multiculturalism, and diversity efforts. This essay argues for the importance of Asian Canadian Studies (ACS) as a means to combat ongoing manifestations of racism and racialization in the academy. We examine the necessity of ACS as an emancipatory project—its objectives and the challenges it faces. There are currently three existing ACS programs in Canada, and we will focus in particular on the University of British Columbia's Asian Canadian and Asian Migration Studies Program as an illustrative example of how to promote social justice and civil rights in Canadian higher education. The importance of ACS and its effectiveness are discussed in the context of university settings.

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)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.188
GPT teacher head0.497
Teacher spread0.309 · 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