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Record W2896594527 · doi:10.3138/ijcs.56.2017-0005

Beyond Celebration: A Critical Sociological Inquiry of Interracial Union Research in Canada

2017· article· en· W2896594527 on OpenAlexaffvenueabout
Katerina Deliovsky, Tamari Kitossa

Bibliographic record

VenueInternational Journal of Canadian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsSkepticismSociologyPositivismRacismPower (physics)Critical theoryCommodificationPresuppositionState (computer science)Critical race theoryRace (biology)Gender studiesEpistemologyLawPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Research in Canada has latched onto the explanation that the growth in interracial unions is both cause and consequence of progressive social change. The authors cast a skeptical eye on this regime of truth produced by positivistic statistical procedure and the speculative theory of social change as it connects to the state brand of tolerance. They offer a meta-theoretical critique that challenges the taken-for-granted assumption that the growth in interracial unions can be explained by multiculturalism, the presumed antiracist implications of these unions, and the supposed amorphousness that mixed-race children presumably embody. The authors seek to disrupt the mystification and commodification of interracial unions and the children of these unions as proxies for social change. Instead, they call for critically and historically informed qualitative and quantitative research that avoids deputizing interracial unions en masse as societal change agents. They call for other and more robust metrics for measuring the reduction of racism. Attendant to radically altering how interracial unions are imagined, it is necessary for theory and research practices to deeply engage with class, gender, race, sexuality, and asymmetries of power when examining the complex, contradictory, and joyous inner and outer life-worlds of interracial couples and families.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.336
GPT teacher head0.499
Teacher spread0.162 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2017
Admission routes3
Has abstractyes

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