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Record W2338035804 · doi:10.1177/1524500415620138

Application of the Transtheoretical Model and Social Marketing to Antidepression Campaign Websites

2015· article· en· W2338035804 on OpenAlex
T Levit, Magdalena Cismaru, Alexis Zederayko

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

VenueSocial Marketing Quarterly · 2015
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsTranstheoretical modelPromotion (chess)Context (archaeology)Social marketingMental healthPsychological interventionSocial mediaRelevance (law)Set (abstract data type)MarketingProduct (mathematics)Behavior changeHealth promotionPsychologyMedicinePublic relationsAdvertisingBusinessPsychotherapistSocial psychologyNursingPolitical scienceComputer sciencePublic healthWorld Wide Web

Abstract

fetched live from OpenAlex

Antidepression social marketing (SM) campaigns are often accompanied by comprehensive websites to engage and help people with mental health problems; however, the use of theory is not always apparent. The transtheoretical model (TTM) involves five stages of change through which a person transitions to a healthier life. This paper combines TTM and the fundamental principles of SM, such as consumer orientation, targeting, and value creation and exchange through 4Ps (product, place, promotion, and price), and applies them to mental e-health. We create a set of detailed criteria to guide the development of antidepression websites. These criteria are further used to analyze the online content of five antidepression campaigns and to demonstrate the relevance of TTM and SM to online delivery of the information and self-help interventions in the context of depression.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.510

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 studies0.0000.000
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 head0.025
GPT teacher head0.344
Teacher spread0.319 · 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