“It’s only a problem if she wants it to be” an ethnographic exploration of gender in the maritime sector
Bibliographic record
Abstract
This thesis explores how gender identity and presentation shape people’s experience of physical and sonic environments in a workplace, with a specific focus on male-dominated professions in the maritime sector. Men continue to outnumber women in these professional spaces, despite training and recruiting programs encouraging women to join. Why women choose this line of work, and how they create room for themselves in professional spaces not designed for them, are the primary foci of this work. Original research centres on interviews with 19 participants from fishing, fish processing, marine engineering, naval architecture, and the oil and gas industry, supplemented by participant observation. Feminist standpoint theory frames the analysis, with Ruth Frankenburg’s work on positionality and perspective and Judith M. Gerson and Kathy Peiss’ work on gender consciousness and gender awareness offering insight into how gender shapes physical space in historically male-dominated spaces. Rebecca Lentjes’ work on sonic patriarchy and Robin E. Sheriff’s concept of cultural censorship are used to investigate how sonic spaces are shaped by the gender of those speaking and those who are silenced. The narratives included in this work, and the analysis used to explore them, suggest that the challenges and barriers these women face are part of a larger cultural pattern within the maritime sector that must be that must be addressed in order to achieve gender equity in the workplace.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".