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Record W1994716079 · doi:10.7870/cjcmh-2003-0005

Community Resilience or Unidentified Health Risk?: Health Professional Perceptions on the Impact of the Swissair Flight 111 Disaster on Surrounding Communities

2003· article· en· W1994716079 on OpenAlexaffvenueabout
Terry Mitchell, Randy D. Townsend, Jane Schnare

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2003
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsWilfrid Laurier University
FundersNew Zealand Psychological Society
KeywordsSilencePsychological resilienceNova scotiaCommunity resiliencePerceptionCommunity engagementPsychologyEnvironmental healthGeographyNursingMedicineSocial psychologyPublic relationsPolitical scienceEngineeringArtArchaeology

Abstract

fetched live from OpenAlex

On September 2nd, 1998 Swissair Flight 111 crashed in Saint Margaret's Bay, Nova Scotia. Surrounding coastal communities were immediately transformed into disaster response sites. Sixteen community health professionals were interviewed that identified several types of individual and community exposure, including exposure to human remains. The interviews revealed that the coastal communities have responded with silence and stoicism. This silence has been viewed by some health professionals as resilience. The interface of a major disaster, community silence, low help-seeking behaviours, and limited disaster health responses raises the critical question whether this is a profile of resilience or a community silently enduring.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0020.002
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 head0.151
GPT teacher head0.457
Teacher spread0.307 · 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

Citations3
Published2003
Admission routes3
Has abstractyes

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