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Record W4214747846 · doi:10.1017/s0034670522000092

“Democracy Is Always Going to Be Hard”: An Interview with Charles Taylor

2022· article· en· W4214747846 on OpenAlexaboutno aff
Paolo Costa

Bibliographic record

VenueThe Review of Politics · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracySpiritualityHindsight biasFrame (networking)PsychoanalysisRomanticismChinaSociologyPhilosophyArt historyPolitical sciencePsychologyHistoryLawMedicineSocial psychology

Abstract

fetched live from OpenAlex

Abstract This interview with the Canadian philosopher Charles Taylor was designed and realized to celebrate his ninetieth birthday in November 2021. The interview touches on all the main themes of Taylor's oeuvre, from his view of philosophy to the inherent link between human intelligence and strong evaluations, from the Immanent Frame to postsecularity, from today's democratic crisis to the 1980s debate between liberals and communitarians, from Xi Jinping's China to the global health emergency, from spirituality to Philosophical Romanticism. It is both a hindsight analysis by a first-class thinker and a glance into the future by an incurable optimist.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.156
GPT teacher head0.372
Teacher spread0.216 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2022
Admission routes1
Has abstractyes

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