Working towards a green job?: Autoworkers, climate change and the role of collective identity in union renewal
Bibliographic record
Abstract
This article examines the important, yet under-examined, issue of green workforce development and industrial relations and the role of unions and workers in shaping a transition to a green economy. Based on interviews with labour leaders and rank-and-file workers in the auto manufacturing sector in Ontario, Canada, this article interrogates how environmentalism and climate change potentially construct a sense of purpose among heterogenous union members, particularly in the context of decreasing union power, de-industrialization and neoliberalism. In order to understand how climate change can shape union purpose, we investigate how a diverse range of union members – beyond leaders – understand climate change and the appropriate strategies to address it and how this sustains or hinders collective identity within the union. We argue that understanding internal differences in collective identities is key for unions to start to rebuild power resources. Our research demonstrates that future union success and solidarity among workers might be dependent on the ability of unions to recognize and negotiate multiple collective identities. By incorporating innovations into the union, a more flexible and multi-dimensional collective identity regarding labour environmentalism could be built and sustained.
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.
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 | 0.003 | 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 | 0.001 | 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".