The Twin Track Model of Employee Voice: An Anglo-American Perspective on Union Decline and the Rise of Alternative Forms of Voice
Bibliographic record
Abstract
We present a simple framework for analyzing decline in union voice in the Anglo-American world and its replacement by non-union, often direct, forms of worker voice. We argue that it is a decline in the in-flow to unionisation among employers and workers, rather than an increase in the outflow rate, that accounts for this decline. We show how union decline is predicted by experience good and cost-disease models of trade unionism and is linked to specific institutional and policy constraints on union organizing in the Anglo-American world. We show how the co-existence of union and non-union forms of worker voice is predicted by transaction cost economics, while the growth in non-union forms of worker voice is aided by declining costs of employers ''making'' voice mechanisms. We draw on ''spurt'' theories of unionisation to help understand factors underpinning union decline, including falling costs of employer opposition to unionisation as density falls, as discuss possibilities for ''bottom-up'' growth in union-like forms of worker voice implied by ''spurt'' theories.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".