Uncertainty and the Correlates of Union Voting Propensity: An Organizing Perspective
Bibliographic record
Abstract
This paper argues that a barrier to union organizing is the identification of workplaces in which the union voting propensities of workers are sufficient to justify an organizing drive. It also argues that prior research into these propensities has been of limited value in this respect. It then draws on a unique telephone survey of Canadian workers to explore the implications of a variety of individual-, work-, and employment-related variables for the propensity of non-union workers to vote in favor of union representation. In so doing, it proceeds from a “union organizing” perspective, seeking not just to establish whether these variables appear to “cause” voting propensity, but also whether they are correlated with it, and hence serve as markers for union organizing, and if so, how and why they do. It also seeks to demonstrate the possible value of survey research and hence encourage a more scientific approach to union organizing choices. A wide array of variables is found to have potential implications for these choices.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".