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Record W2110740359 · doi:10.7202/013026ar

Les sinistrés des inondations de 1996 au Saguenay : problèmes vécus et séquelles psychologiques

2006· article· fr· W2110740359 on OpenAlexaffvenueabout
Gilles Lalande, Danielle Maltais, Suzie Robichaud

Bibliographic record

VenueSanté mentale au Québec · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesArtPsychology

Abstract

fetched live from OpenAlex

Les inondations de juillet 1996 ont touché une partie importante de la population du Saguenay. Des désastres de cette nature soumettent les personnes sinistrées à des expériences psycho-émotionnelles particulièrement difficiles à vivre entraînant généralement des séquelles psychologiques. À partir d'une recherche de type qualitatif portant sur l'analyse clinique de 30 histoires de cas, cette étude exploratoire permet de brosser un tableau de l'impact de ce désastre dans la vie des personnes touchées et d'en évaluer les conséquences sur leur santé psychologique. Les résultats indiquent que ce désastre a grandement bouleversé la vie des individus sinistrés entraînant de nombreuses difficultés et une détérioration de leur santé mentale, rendue évidente par l'apparition de problèmes et troubles psychologiques sérieux.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.342
Teacher spread0.315 · 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 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

Citations4
Published2006
Admission routes3
Has abstractyes

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