Solidarity Forever? An Analysis of Changes in Union Density
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Originally prepared to provide background information and analysis for a Canadian Labour Congress conference on rebuilding unions in the Fall of 2003, this article maps trends in union density i.e., the proportion of workers covered by a collective agreement. It provides a short overview of the period since the mid 1980s, and a much more detailed analysis of the period from 1997 to 2002 for which detailed data from Statistics Canada's Labour Force Survey are available. Union density has trended down in the private sector to below 20% more because of a density decline among male blue collar workers than because of deindustrialization per se. Union density has remained high in public and social services, including outside the direct public sector, and this mainly explains why union density has held up much better among women than men. Union density is low, but relatively stable, in private consumer and business services. Density has fallen proportionately less in the higher union density provinces, particularly Quebec, and has fallen to well below average levels among private sector workers in the fastest growing provinces of Ontario and Alberta.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 it