On- and off-duty conduct(or): a feminist critical discourse analysis of two dismissals of a railway worker
Bibliographic record
Abstract
Purpose The authors sought to examine how hegemonic masculinity and sexism functioned in a storied, historic corporation, a test of MAnne's (2017) claim that misogyny is a structural phenomenon rather than being about anger and hatred of individual men. Design/methodology/approach This study was an archaeological excavation of discourse in a well-documented employment relationship. The researchers were informed by feminist poststructuralism and drew on critical discourse analysis of labour arbitration and media from the case of a woman, twice wrongfully dismissed. Findings The authors concluded that the employer was the site of hegemonic masculinity, which led to a train conductor being repeatedly targeted and demeaned in a bad faith and discriminatory manner for disrupting the conductor’s employer's patriarchal strictures. The authors found that misogyny shaped the conductors’s experience as a repeated pattern of abuse, a gendered feature of a patriarchal organisation, and a coercive matter of maintaining the conductor’s subordination. The authors also found that the male arbitrator in the conductor’s second dismissal arbitration became complicit in misogyny by penalising the conductor for acts of resistance, giving the employer what the employer wanted, to purge the conductor for violating the patriarchal norms. Originality/value The authors traced how a historic corporation demonstrated vulnerability to the resistance of a lone female worker, who faced discriminatory, disturbing and bad faith managerial behaviour in the creation of the conductor’s own meaning and resistant identity. The authors concluded that evidence of the regulation of employee relations, such as the decisions of arbitrators, can reveal the processes and outcomes of work under hegemonic masculinity, sexism and misogyny.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.021 | 0.037 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".