Bibliographic record
Abstract
This paper explores the production and supply of safety information under a neoliberal regime, where economic incentives and competition rather than regulations, supervision and enforcement, comprise the common sense to guarantee a safe workplace. Following a political economy of communication framework on the Chilean sector, this assessment unpacks the relationship between Workers' Compensation Boards' (WCBs) informational resources and their economic process of exchange within a neoliberal context. The purpose of this paper is to provide a well-grounded theoretical outline to analyse safety information, and to offer a glimpse of the particular kind of informational resources and goods produced by neoliberal WCBs. The following analysis discloses that WCBs are compelled to cede control over their symbolic content to the dynamics of the market place and the logic of profit maximization. Economic and competition imperatives trigger the production, on the one hand, of informational resources as distorted rates, and on the other, of informational goods as pro-corporate safety knowledge. Workers are cognitively misled and left physically and mentally unprotected at the worksite. This paper claims that due to a free market model, Chilean WCBs fail to protect workers' health and safety by producing and supplying distorted rates and corporate friendly knowledge.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".