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Record W3107987798 · doi:10.7202/1074044ar

Political and Metaphysical: Reflections on Identity, Education, and Justice

2020· article· en· W3107987798 on OpenAlexaffvenueabout
Lauren Bialystok

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdentity (music)SociologyEconomic JusticeEpistemologyPoliticsLawPolitical scienceAestheticsPhilosophy

Abstract

fetched live from OpenAlex

John Rawls (1985) famously argued that social justice ought not to concern itself with the metaphysical disputes that separate us as groups and individuals. Identity is supposed to be irrelevant to the deliberations of free and equal citizens. Since the recent turn toward right-wing populism, renewed attention has been devoted to the place of identity in contemporary Western societies. In this paper, building on key philosophical accounts of identity, I argue against both political liberalism’s confidence in identity-blind justice and some contemporary conceits of social justice education, according to which identity is the beginning and end of normative judgments. In the first section I show how identity appeals to a notional horizon of authenticity against which specific claims are adjudicated, and which takes on normative significance in its own right. I then consider two examples of recent controversies in Canada over the meaning of Indigenous identity and gender identity, respectively, which reveal latent tensions in the pursuit of social justice. In the final section I sketch the implications of these tensions for school-based education and the role of education in advancing identity talk more generally .

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.632
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.191
GPT teacher head0.486
Teacher spread0.295 · 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 designTheoretical or conceptual
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

Citations3
Published2020
Admission routes3
Has abstractyes

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