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Record W1911166507 · doi:10.7202/1033093ar

Expériences asiatiques en matière de diversité, de reconnaissance de l’Autre et de coexistence

2015· article· fr· W1911166507 on OpenAlexvenueno aff
Felix Wilfred, Raymond C. Roy

Bibliographic record

VenueThéologiques · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Cet article montre comment le projet de modernité occidentale, avec son idéologie centrée sur l’affirmation d’autonomie et de liberté de l’individu, sur le régime des droits de la personne et sur le libéralisme politique, présente de sérieuses lacunes, et comment ce projet de modernité risque de ne pouvoir résoudre les questions essentielles de la diversité, de la reconnaissance de l’Autre et de la coexistence, questions si brûlantes à l’ère de la mondialisation. L’auteur poursuit en montrant que les expériences asiatiques, notamment sud-asiatiques, de pluralisme et de tolérance comportent des éléments théoriques et pratiques qui procurent un cadre viable permettant d’accepter l’Autre dans sa différence. L’article affirme en guise de conclusion que l’Europe, dans l’expérience de la diversité qu’elle vit maintenant, avec en toile de fond les phénomènes de migration et de xénophobie, ne peut se contenter de l’héritage des Lumières, mais qu’elle doit puiser dans son patrimoine chrétien pour pouvoir accueillir l’Autre avec solidarité et compassion. L’auteur propose un échange et un dialogue fructueux entre chrétiens, avec la pensée postmoderne et la pensée asiatique, dialogue susceptible d’aider à relever le défi mondial de la diversité et du pluralisme propres à notre époque.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.013
Scholarly communication0.0060.005
Open science0.0000.008
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.167
GPT teacher head0.416
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2015
Admission routes1
Has abstractyes

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