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Record W2749715730 · doi:10.1177/1757975917716924

Development and pretest of key visual imagery in a campaign for the prevention of child maltreatment

2017· article· en· W2749715730 on OpenAlex
Émilie Charest, Marie‐Hélène Gagné, Julie Goulet

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlobal Health Promotion · 2017
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSuicide preventionInjury preventionPoison controlPsychologyPrimary preventionKey (lock)Occupational safety and healthHuman factors and ergonomicsChild safetyMedicineDevelopmental psychologyMedical emergencyComputer securityEngineeringComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: This article discusses the development and pretesting of key visual imagery in a promotional campaign developed in Quebec, Canada. This campaign is the media-based component of a broader prevention strategy involving the use of the Triple P program (Sanders, 1999). OBJECTIVES: The purpose was to pretest with parents the preliminary version of a poster that uses the campaign's key visual imagery prior to final production. METHOD: In total, 26 parents from the regions of Quebec City and Montreal participated in four focus groups. RESULTS: Two general themes emerged from the focus groups: (i) emotions and reactions arising from the key visual imagery; and (ii) comprehension of the message being conveyed. CONCLUSION: Based on this information, recommendations were made to the marketing agency, which then modified the campaign's key visual imagery and proposed a final layout.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.047
GPT teacher head0.405
Teacher spread0.358 · 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