Investigating the Dimensionality and Stability of Union Commitment Profiles over a 10-Year Period: A Latent Transition Analysis
Bibliographic record
Abstract
The authors adopt a person-centered approach to the investigation of the dimensionality of the union commitment construct by capitalizing on a 10-year longitudinal study (from 1992 to 2002) of 637 union members in their first year of employment measured again 1 and 10 years later. Results reveal four distinct profiles of union commitment, presenting a stable structure over time. These profiles demonstrate consistency in commitment level across the three most common union commitment dimensions, thus questioning the necessity of adopting a multidimensional approach. Results show that union members became more similar to other members of their profiles over time, and that their union commitment became slightly less extreme as union tenure increased. Finally, results show that union commitment profiles predict union participation, in accordance with our expectations, and suggest that endorsing positive attitudes toward unions and their instrumentality was a stronger predictor of profile membership than was satisfaction with the actions of one’s own union.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".