Restructuring in the forest sector and the re‐shaping of women's work identities
Bibliographic record
Abstract
This article explores how women forest workers’ perceptions of restructuring are related to their work identities. Drawing on semi‐structured interviews with 29 women working in subsidiaries of a multinational forest company in northern Saskatchewan, I describe how women workers selectively drew on traditional mill worker and flexible worker identities to legitimize and delegitimize restructuring. Women's understandings of themselves as workers were shaped by their paradoxical relationships to standard forest processing work. Some women with previous experience working in low‐waged service industries adopted worker subjectivities that legitimized restructuring and valued flexibility, individual empowerment, and mobility. Other women delegitimized restructuring, referencing traditional characterizations of forest work that valued community stability, collective resistance, and security. Many women, however, neither consistently legitimized nor delegitimized restructuring throughout their interviews. This last group's ambiguous portrayal of work and restructuring demonstrates the identity dilemmas faced by new entrants to declining industrial sectors. Restructuring interrupted women's narratives of having found a “good job” in forestry and prompted the renegotiation of their understandings of mill work. This article contributes to our understanding of restructuring in resource industries by drawing attention to how worker identities, gender, and industrial change are interrelated.
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 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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.026 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".