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Record W2616901888 · doi:10.47925/2014.182

Personal Autonomy for the Survival of Community in Pluralist Liberal Democracies

2014· article· en· W2616901888 on OpenAlexaff
James R. Bigari

Bibliographic record

VenuePhilosophy of education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAutonomyDeliberationPoliticsContext (archaeology)SociologyEpistemologyObstacleVariety (cybernetics)Law and economicsEnvironmental ethicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

This essay will provide a new approach to the much-discussed tension between education for personal autonomy and the educational concerns of conservative Christian communities.One can find a wide variety of interpretations of "personal autonomy" in political, ethical, and educational literature.The conception of autonomy I wish to address here is autonomy as one's ability to make inquiries into various conceptions of the good life, and choose to pursue that life which seems to speak most deeply to one's fundamental needs and interests. 1Some have critiqued this account of autonomy on the grounds that one cannot inhabit a "god's eye view" outside of socio-historical contexts and traditions in order to "autonomously" choose a given conception of the good life. 2 However, there have been compelling responses to this objection. 3The autonomous self is not one that is somehow divorced from social attachment and influence, rather it is "a cluster of substantive attachments and projects." 4Such a self is "revocably encumbered." 5 All deliberation is bound by the particulars of language and socio-historical context.However, regardless of this boundedness, one can still rationally reflect and revise commitments in a piecemeal way by critiquing some commitments in the light of others.Rather than being an obstacle to autonomy, these "encumbrances" provide the context and tools with which to pursue knowledge.

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)0.001
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 score0.141
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.068
GPT teacher head0.361
Teacher spread0.293 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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