MétaCan
Menu
Back to cohort
Record W2111087956 · doi:10.1093/rpd/ncp084

Emergency preparedness for higher risk populations: psychosocial considerations

2009· article· en· W2111087956 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRadiation Protection Dosimetry · 2009
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsInstitute of Population and Public HealthUniversity of Ottawa
Fundersnot available
KeywordsPsychosocialPreparednessPopulationPhraseStrengths and weaknessesPsychologyRisk analysis (engineering)MedicineEnvironmental healthPolitical scienceSocial psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

This paper was meant to be on 'vulnerable populations', as some population sub-groups do require special care, special planning and special integration of needs. However, the issue should be reframed in terms of groups at higher risks. The text explains how (1) there are contextual vulnerabilities, in (a) higher susceptibility, i.e. higher exposure to risk, (b) higher sensitivity, i.e. higher damage or higher brittleness, and (c) weaknesses and gaps in the emergency system; (2) that these higher susceptibility, sensitivity and system weaknesses involve important psychosocial considerations, which may stem from socio-demographic status or ripple effects in the community; and finally, (3) that addressing those 'soft spots' using the phrase 'vulnerable populations' can be misleading and disserving because it disempowers, stigmatises and deters one from a more thorough analysis.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.104
GPT teacher head0.440
Teacher spread0.336 · 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