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Record W2145582211 · doi:10.7202/013028ar

Les impacts psychosociaux de la tempête de verglas au Québec

2006· article· fr· W2145582211 on OpenAlexaffvenueabout
Johanne Charbonneau, Françoise-Romaine Ouellette, Stéphanie Gaudet

Bibliographic record

VenueSanté mentale au Québec · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Between January 5th and January 9th 1998, Quebec was struck by a natural disaster, an ice storm that disrupted the daily lives of millions of people. The ice accumulated on electric wires and installations caused the collapse of part of the system leaving millions of people without power for periods of up to a month. These events thus compelled many people to reorganize their daily lives in some of the most densely populated areas in Québec. Many elements make this disaster distinct from others. It is in this particular context that we must understand results of studies conducted for the Commission mandated by the Québec government to examine the consequences of the ice storm. These studies examined among other things, the psychosocial consequences of the disaster. By comparing the ice storm to other disasters, we see that the temporality of the phases of impact are somewhat different. The confusion between the phases of anticipation and the lengthy duration of the phase of impact are important characteristics which are also linked to some psychosocial impacts such as uncertainty and the more or less prolonged disorganization of daily life. The types of impact underlined in the studies lie in continuity with reactions generally expected in this area (stress, distress, vulnerability for example), and described in the literature but also reveal the specificity of a disaster occurring in a cold country. Here, there are no massive material destruction but help is diverse. However, as elsewhere, there is a context where some people are in a greater situation of vulnerability.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.321
Teacher spread0.308 · 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

Citations4
Published2006
Admission routes3
Has abstractyes

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