Product Safety Provision and Consumers' Information
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
Economic mechanisms related to the provision of product safety are explored, with particular attention paid to the structure of consumers' information. The case of perfect information, of experience goods (for which consumers detect product safety after consumption) and of credence goods (where consumers cannot link a disease to a particular product consumed in the past) are explored. Imperfect competition is assumed in the supply sector. In the case of both perfect information and experience goods, market equilibrium is characterised by a less‐than‐socially optimal provision of safety, when the safety effort is costly. With credence goods, imperfect information leads to the absence of safety effort and to a market closure. Different types of public regulation aiming at increasing consumer protection and circumventing market failures are explored. Particular attention is paid to minimum safety standards, labels and liability enforcement. The relative efficiency of these instruments depends on the information structure. In the cases of perfect information and experience goods, a minimum safety standard can be an efficient instrument. Regulation is necessary but not sufficient to avoid market failure in the case of credence goods.
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 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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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