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Charles Taylor’s Work after A Secular Age

2018· book-chapter· en· W3125665976 on OpenAlexaboutno aff
Craig Browne, Andrew Lynch

Bibliographic record

VenueEdinburgh University Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyViewpointsPoliticsMulticulturalismSociologyImmigrationPolitical scienceSocial scienceHistoryLawArt

Abstract

fetched live from OpenAlex

This chapter explores what Taylor has been working on since publishing <italic>A Secular Age</italic>. This includes his work on religious freedom, his contribution to a report for the Government of Quebec on diversity and multiculturalism in the province, and his study on language and its place and role in the political and social debates that are shaping our world. The chapter examines Taylor’s arguments about religious freedom and its importance for harmonious social conditions in modern societies that are struggling to negotiate the boundaries between the religious and the secular realms, particularly at a time when both religious and secular viewpoints remain important to many citizens in modern democracies. The chapter then provides an overview of Taylor’s work on a report for the Government of Quebec that was commissioned at a time of intense scrutiny in the province about the status of the French language, the maintaining of French cultural traditions, and issues to do with jobs and incomes as the region faces high levels of immigration and increased diversity. Taylor’s book <italic>The</italic> <italic>Language Animal</italic> is also examined, and his views about how we understand language as being expressive or functional is assessed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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