Re-Inscribing Gender Relations through Employment-Related Geographical Mobility: The Case of Newfoundland Youth in Resource Extraction
Bibliographic record
Abstract
Despite the popular representation of the masculine hero migrant (Ni Laoire, 2001), rural youth scholars have found that young men are more likely to stay on in their communities, while young women tend to be more mobile, leaving for education and better employment opportunities elsewhere (Corbett, 2007b; Lowe, 2015). Taking a spatialized approach (Farrugia, Smyth & Harrison, 2014), we contribute to and extend the rural youth studies scholarship on gender, mobilities and place by considering the case of young Newfoundlanders’ geographical mobilities in relation to male-dominated resource extraction industries. We draw on findings from two SSHRC-funded research projects, the Rural Youth and Recovery project, a subcomponent of the Community-University Research for Recovery Alliance (CURRA) and the Youth, Apprenticeship and Mobility project, a subcomponent of the On the Move Partnershi We argue that the spatial coding of gender relations in rural Newfoundland makes certain kinds of mobilities more intelligible and possible for young men, while constraining women’s. In other words, gender relations of rural places are “stretched out” (Farrugia et al., 2014) across space through the mobility practices of young men and women in relation to work in skilled trades and resource extraction industries. These “stretched out” gender relations are reproduced by the organisation of a sector that relies on a mobile workforce free from care and domestic work and familiar with manual work.
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 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".