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Record W2964573567 · doi:10.7202/1062063ar

Au nom de la relation

2019· article· fr· W2964573567 on OpenAlexaffvenue
Stéphane Perreault, Marie-Chantal Falardeau, Jeanne Guèvremont

Bibliographic record

VenueThéologiques · 2019
Typearticle
Languagefr
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Considérant la chanson comme un acte de communication (Lasswell 1948), l’objectif de cet article est d’examiner, de façon qualitative et inductive, le contenu religieux et non religieux ainsi que le contexte relationnel qui sous-tend les paroles des hymnes nationaux de 195 pays. À cet effet, nos résultats indiquent que la religion est mentionnée dans deux tiers des paroles des hymnes nationaux du monde. De plus, quatre types de relations semblent être présents au sein de celles-ci, soit des relations intragroupes, intergroupes et parasociales (une avec le pays et l’autre avec une entité religieuse). Finalement, nos analyses qualitatives permettent de préciser que les deux relations parasociales se déclinent comme reflétant une relation asymétrique complémentaire. Nous discutons ces résultats à la lumière de l’idée que l’identité se construit d’une manière relationnelle.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.008
Scholarly communication0.0060.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0360.004

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 head0.016
GPT teacher head0.311
Teacher spread0.295 · 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 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

Citations2
Published2019
Admission routes2
Has abstractyes

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