Testing a Structured Decision Approach: Value‐Focused Thinking for Deliberative Risk Communication
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
Public participation is now part of many decision making processes for managing environmental and technical risks. This article describes a test of a strategy to improve the quality of public input by combining themes from risk communication with the prescriptive decision process of value-focused thinking. It was hypothesized that participating in a structured, value-focused risk communication approach would lead people to make more thoughtful, better informed, and hence higher quality decisions by helping them to consider and discuss a wider array of decision-relevant issues and address key value trade-offs. It is also anticipated that utilizing a value-focused decision structure would make participants feel more comfortable with their decisions; more satisfied that their selected alternative reflected their key concerns; and, in the end, more satisfied with their decisions. To test these hypotheses, six groups comprised of 7 to 10 people participated in conventional "alternative-focused" risk communication workshops and eight groups participated in similar "value-focused" workshops. All workshops dealt with the management of risks to riverine salmon habitat from hydroelectric electricity generation. The results provided support for the hypotheses: the value-focused decision structure led to more thoughtful and better informed risk management decisions.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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