Evaluación cognitiva y reacción emocional a la variación de la amenaza y el emisor en las advertencias contra productos adictivos: proposiciones de investigación
Bibliographic record
Abstract
Warnings against addictive products inform the public about potential health and behavioral risks caused by the use and abuse of such products, in order to minimize such risks. This paper analyzes the aspects of information processing, emotional responses, and possible changes of attitude due to variations in two important conditions for such communications: the threat in the message contents and the nature of the issuer. To do so, this paper offers a conceptual review of diverse aspects that affect the efficacy of the warnings, it examines the persuasive role of the threat in the communication and of the issuer of the message and, finally, it discusses the weight of some personal variables that affect information processing. Such arguments give rise to a set of propositions for research on the cognitive process of interiorization that such messages have and on how a person’s attitude may be affected. The conceptual basis for this paper is a combination of the elaboration likelihood model (ELM) and of the protection motivation theory (PMT).
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".