The Latest Italian Labour Market Rreforms in the Perspective of Decent Work Basic-Relations-Fairness Proposal
Bibliographic record
Abstract
This work is a contribution to the debate on ‘decent work’, here developed as an instrument to measure an aspect of human development. The concept, conceived by the International Labour Organisation (ILO) in 1999, is here interpreted in relation to Sen’s (1999) capability approach. The main idea is that decent work ‘can be a liberator’ (Sen, 1999: 116). Elements identified in the basic-relations-fairness proposal are grouped into three profiles, which are ordered into two levels. Obstacles to decent work or ‘working defects’ are understood as the distance from the actual to the desired labour condition, and improvements of the quality of labour are interpreted as approaching the desired situation. The proposal is firstly presented theoretically, then used to interpret labour market reforms in Italy from the ‘Treu law’ in 1997 to ‘Fornero reform’ in 2012.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".