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Record W2054226885 · doi:10.1080/10810730.2012.727960

The 2009 H1N1 Influenza Pandemic: The Role of Threat, Coping, and Media Trust on Vaccination Intentions in Canada

2013· article· en· W2054226885 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Health Communication · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsCarleton University
FundersCanadian Institutes of Health Research
KeywordsPandemicVaccinationWorryCoping (psychology)CredibilityRisk perceptionOddsHealth communicationPublic healthPerceptionPopulationMedicinePsychologyAmbivalenceSocial psychologyCoronavirus disease 2019 (COVID-19)DiseaseClinical psychologyPsychiatryEnvironmental healthImmunologyInfectious disease (medical specialty)NursingAnxiety

Abstract

fetched live from OpenAlex

Swine flu (H1N1) reached pandemic proportions in 2009, yet ambivalence was met concerning intentions to be vaccinated. The present investigation determined predictors of perceived H1N1 contraction risk and vaccination intentions among Canadian adults (N = 1,027) responding to an online questionnaire. The relatively low rate of vaccination intent (30.12%, and 34.99% being unsure of their intent) was related to a sense of invulnerability regarding illness contraction and symptom severity. Most individuals were skeptical that H1N1 would be widespread, believing that less than 10% of the population would contract H1N1. Yet, they also indicated that their attitudes would change once a single person they knew contracted the illness. Also, worry regarding H1N1 was related to self-contraction risk and odds of individuals seeking vaccination. Moreover, vaccination intent was related to the perception that the threat was not particularly great, mistrust of the media to provide accurate information regarding H1N1, and whether individuals endorsed problem-focused versus avoidant coping strategies. Given the role media plays in public perceptions related to a health crisis, trust in this outlet and credibility regarding the threat are necessary for adherence to recommended measures to minimize health risk.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.317
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.334
Teacher spread0.300 · 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