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Record W2181335082 · doi:10.22215/cjers.v4i2.2451

Christianity and Tolerance: A Genealogy of European Identity

2008· article· en· W2181335082 on OpenAlexvenueno aff
Daniel Augenstein

Bibliographic record

VenueThe Canadian Journal of European and Russian Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsAcknowledgementEuropean unionIdentity (music)Diversity (politics)National identityPolitical scienceChristianityReligious identitySociologyEnvironmental ethicsReligious studiesLawAestheticsPhilosophyPoliticsInternational trade

Abstract

fetched live from OpenAlex


 In the process of European constitutionalisation, the European Union continues to struggle for an identity that can generate widespread support amongst its peoples. Against this background it has been suggested by some that a European identity should embrace the Christian values that underpin Europe’s national traditions and cultures. In this paper I shall argue that, instead of relying on a communitarian vision of a ‘Christian Europe’, a European identity should build on a culture of religious tolerance. A European culture of religious tolerance draws on the enduring of difference and the acknowledgement of persisting and intractable conflict as essential experiences of Europe’s Christian past. Thus understood, tolerance lies at the roots of a European identity. At the same time, and through the conditional inclusion of religious diversity in the European Nation-States, a European culture of religious tolerance creates over time new commonalities between Europe’s religiously permeated national traditions. Thus understood, tolerance only brings about the conditions for the development of a supranational European identity that amounts to more than (the sum of) its national counterparts.
 
 Full text available at: https://doi.org/10.22215/rera.v4i2.195

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.062
GPT teacher head0.320
Teacher spread0.258 · 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 designObservational
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

Citations0
Published2008
Admission routes1
Has abstractyes

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