Do not steel our identities! The role of identity in shaping workers’ perceptions of “green” steel transitions
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
There has been a growing interest in how workers in high-carbon industries are impacted by low-carbon transitions and how such transitions can be implemented in a way that is just. This study explores the socio-cultural dimensions of these processes, focusing on the role of identity in shaping workers’ perceptions of low-carbon transitions and their ability to navigate change. It does so through a focus on the decarbonisation of Sweden’s steel industry, using qualitative interviews with workers and ex-workers in the steel town of Oxelösund to unpack the relation between work, identity, and industrial change. The findings show the importance of unpacking the notion of identity, with different aspects of social identity either potentially helping workers to adapt to changes brought by the transition, or acting as a source of resistance, where attachment to the industry and industrial work could lead to opposition, particularly among blue collar-workers. It also demonstrates the value of adopting a historically-informed perspective to better understand how previous rounds of industrial restructuring shape current-day identities, and thus perceptions of the transition. Combined, these findings thus highlight the importance of considering not only immediate economic impacts, but also social identity and broader socio-cultural effects of industrial change in order to understand how workers perceive and navigate change, and how a Just Transition can be achieved.
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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 | 0.000 | 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 | 0.000 | 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