The Dimensions of Religion as Underpinning Constructs for Mass Media Social Marketing Campaigns: An Emerging Concept
Bibliographic record
Abstract
The purpose of this review is to consider the underlying concepts and related issues that have been proposed inthe literature of the potential relationship to use the dimensions of religion as constructs for mass media socialmarketing campaigns. The literature appears divided as to whether: (1) an individual’s attitude changes and thentheir behaviour or (2) behaviour and then attitude, as a result of mass media social marketing campaigns. Whilstthe seven dimensions of religion help characterise the constructs and under-pinning themes of religion(s) andtheir existence in the world today, there does not appear to be a definitive approach to the way we professionallypractice, capitalise, use, create or evaluate mass media social marketing campaigns. Whilst both concepts havereceived and continue to receive growing attention in the literature, further clarification and understanding canonly be sought via questions surrounding the emerging concept, which will further assist in distilling theinformation and possibly provide a new beginning for the study of the concept as well as providing guidance forprofessional practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.016 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".