From Paycheck to Pink Slip: Exploring Displaced Workers' Experiences of Living and Working Through a Factory Closure
Bibliographic record
Abstract
This dissertation examines the lived experiences of displaced workers during three factory closures in the Greater Toronto Area in 2019. The concurrent closure of these factories impacted nearly 3,000 direct workers, motivating this dissertation’s investigation into how displaced workers both affect and are affected by closure processes in one of Canada’s significant manufacturing regions. This study understands these closures as part of broader processes of deindustrialization and economic restructuring that have transformed manufacturing work and workers’ lives. Building on extensive scholarship documenting workers’ experiences of deindustrialization, this study examines how contemporary displaced workers navigate factory closures in urban contexts, focusing on the period between closure announcement and final shutdown. Moving beyond purely structural analyses, this study contributes to understanding how displaced workers navigate this liminal space by examining their sense-making processes, emotional, behavioural, and affective responses, and subject formation during displacement. Integrating feminist political economy and affect theory frameworks, I analyze in-depth interviews with 12 displaced workers to explore how they actively negotiate and respond to factory closures and closure processes. I organize their narratives into five thematic areas: first, how varied announcement practices operate as affective events that constitute displaced worker subjectivity and hierarchies of deservingness; second, how workers’ affective responses circulate and attach to specific anchors during closure procedures; third, how workers are reconstituted as particular kinds of subjects through intensified gendered performances and work ethic; fourth, how workers engage in both traditional and alternative forms of resistance; and fifth, how closure processes reconfigure temporal experiences of work. Across these themes, I demonstrate how workers’ social locations influence their experiences of displacement, while their collective responses both reproduce and challenge existing power relations. I argue that while factory closures disrupt workers’ attachments and relationships, workers are reconstituted within intensified subject positions through familiar performances of gender and work ethic, while simultaneously constructing counter-narratives that reimagine manufacturing’s future. I conclude by suggesting the need for more inclusive union organizing models that recognize diverse worker experiences of job displacement. This work has implications for unions, policymakers, and communities confronting similar industrial transitions.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".