THE ETHICS OF MANAGING AFFECTIVE AND EMOTIONAL STATES TO IMPROVE INFORMED CONSENT: AUTONOMY, COMPREHENSION, AND VOLUNTARINESS
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.
Bibliographic record
Abstract
Over the past several decades the 'affective revolution' in cognitive psychology has emphasized the critical role affect and emotion play in human decision-making. Drawing on this affective literature, various commentators have recently proposed strategies for managing therapeutic expectation that use contextual, symbolic, or emotive interventions in the consent process to convey information or enhance comprehension. In this paper, we examine whether affective consent interventions that target affect and emotion can be reconciled with widely accepted standards for autonomous action. More specifically, the ethics of affective consent interventions is assessed in terms of key elements of autonomy, comprehension and voluntariness. While there may appear to be a moral obligation to manage the affective environment to ensure valid informed consent, in circumstances where volunteers may be prone to problematic therapeutic expectancy, this moral obligation needs to be weighed against the potential risks of human instrumentalization. At this point in time we do not have enough information to be able to justify clearly the programmatic manipulation of human subjects' affective states. The lack of knowledge about affective interventions requires corresponding caution in its ethical justification.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it