New Employment Times and the Changing Dynamics of Conflict Resolution at Work: The Case of Ireland
Bibliographic record
Abstract
This paper argues that a range of economic and social developments are creating new employment times that are in turn obliging a rethink of established approaches to settling employment grievances in Ireland. In particular, it suggests that the triple influences of social partnership, declining trade union density and the increase in employment legislation have caused a decline in collective disputes and a rise in individual-based disputes. The paper also examines the influence of the growth of non-union organizations and argues that this development too is encouraging a new approach to dispute resolution. The paper concludes by arguing that the public agencies dedicated to employment conflict resolution do not have to be recast, but do need to become more integrated and launch new approaches to standard-setting and conflict management.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.029 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.006 | 0.008 |
| 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".