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Record W3169883988 · doi:10.1080/09687637.2021.1937943

Assessing public health messaging about cannabis edibles: perspectives from canadian young adults

2021· article· en· W3169883988 on OpenAlexaffabout
Matt Ventresca, Emily Truman, Charlene Elliott

Bibliographic record

VenueDrugs Education Prevention and Policy · 2021
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFocus groupHarmCannabisPublic healthHarm reductionSocial mediaQualitative researchLegalizationPublic relationsPsychologySociologyPolitical scienceSocial psychologyMedicineSocial scienceNursing

Abstract

fetched live from OpenAlex

In light of the recent legalization of cannabis in Canada, and the prevalence of edibles as a preferred mode of consumption for young adults, there is a need for evidence-based youth-targeted public health messaging on edibles that resonates with this audience. To explore Canadian young adult views on existing public health messaging regarding cannabis edibles, we conducted 8 focus groups with 57 university students ages 18 to 24 (32 women; 25 men). A descriptive qualitative approach was used, informed by the importance of process evaluation. Five main themes/concepts emerged from the focus group discussions. These related to: (1) message tone; (2) type and quality of information; (3) message format and venue; (4) relatability; and (5) spokespeople. Results also revealed that gender influences both reception to spokespeople and the quantity of information desired in educational campaigns. Findings informed five recommendations for future Canadian public health campaigns, including avoiding negative or moralizing messages; providing specific information about edibles and their effects; creating short messages for social media; being cautious when striving to create “relatable” campaigns; and finding spokespeople based on authenticity and expertise. Our findings reinforce the importance of youth input in the creation of such campaigns and suggest that young people are receptive to educational messages aligned with harm reduction principles.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.380
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations8
Published2021
Admission routes2
Has abstractyes

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