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Record W1980167095 · doi:10.7202/1024939ar

Apocalypses et fins de monde : enjeux de santé mentale

2014· article· fr· W1980167095 on OpenAlexvenueno aff
Viviane Annie Lew

Bibliographic record

VenueFrontières · 2014
Typearticle
Languagefr
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

La problématique apocalyptique n’est pas sans interpeller le champ de la santé mentale. Les idéologies dans de nombreuses sectes s’appuient sur des images et des interprétations bibliques mais aussi des représentations post-modernes faisant référence aux extraterrestres et aux OVNI. Leurs leaders charismatiques présentent aussi des profils psychologiques problématiques qui peuvent les entraîner, tout comme leurs adeptes, à des conduites extrêmes. Les inquiétudes liées aux innovations technologiques comme les armes nucléaires, la détérioration de l’environnement de même que les annonces médiatiques peuvent entrainer des réactions anxiogènes qui affectent le bien-être des personnes. Les délires incluant des références apocalyptiques et de fin de monde se retrouvent aussi chez des patients souffrant de troubles psychotiques. Ces enjeux sont discutés en s’appuyant sur des exemples historiques et contemporains.

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)0.005
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.028
Scholarly communication0.0030.003
Open science0.0000.004
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.345
Teacher spread0.324 · 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
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
Published2014
Admission routes1
Has abstractyes

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