A third indeterminacy of labour power: Worker health investment and the indeterminacy of labour health
Bibliographic record
Abstract
This article identifies the health of the worker as a third source of labour power indeterminacy to be added to the indeterminacy of labour effort and the indeterminacy of labour mobility. The paper clearly differentiates worker health from effort as a distinct source of labour power indeterminacy-something that cannot be guaranteed and that varies for an individual over time. It considers the relationship between worker health as a new source of indeterminacy and the two extant sources of labour power indeterminacy, focussing on the way in which health moderates the relationship between effort and output. The paper also considers the way in which worker health investment moderates the indeterminacy of labour effort and labour mobility, independently of its impact on the health of the worker. The paper documents the potential value of worker health investment to the organisation and also considers the boundary conditions for investment in worker health.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".