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Record W2883500046 · doi:10.7202/1070713ar

Cosmopolitan Education in Agonistic Morality: Epistemological Restraint, Discourse Ethics, and Agonistic Pluralism

2020· article· en· W2883500046 on OpenAlexvenueno aff
Matthew Hayden

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsPluralism (philosophy)MoralityAgonismCosmopolitanismSociologyAgonistic behaviourEpistemologyPoliticsDemocracyEnvironmental ethicsPolitical sciencePhilosophyLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

Cosmopolitan education has been much theorized, discussed, and proposed, but what, exactly, might it look like and what specific processes might it involve? Cosmopolitanism’s recognition of shared humanity and the subsequent entailment of democratic inclusion make explicit the moral and political nature of cosmopolitan education and philosophy. As an ethico-political process, existing political and ethical processes can be brought to bear on its educational manifestations. The political concepts of epistemological restraint, discourse ethics, and agonistic pluralism are offered as models for cosmopolitan education in agonistic morality: epistemological restraint is used to address the need for prioritization of moral inquiry over moral belief; discourse ethics addresses the necessity of inclusive and democratic dialogue; agonistic pluralism offsets the implications of the inevitability of pluralism in educational inquiry. All three combine to form a process of cosmopolitan education in agonistic morality.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.160
GPT teacher head0.460
Teacher spread0.300 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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