Crafting identities: masculinities, femininities and marriage in cod moratorium times
Bibliographic record
Abstract
Following the announcement of the groundfish moratorium for Atlantic Canada in 1992, fishing communities saw the loss of close to 40 000 jobs, making this one of the largest industrial layoffs in Canadian history. Men and women were not only displaced from the job market, but also from one of the most gendered sites in society. This thesis examines the changing gender identities and relations of men and women in June's Cove, a small fishery-dependent community in Newfoundland. The study is a snapshot of the changes in gender attitudes, experiences, notions and practices of women and men in relation to themselves and each other in a shifting climate mediated by the cod moratorium. -- Through a combination of participant observation and semi-structured, open-ended interviews conducted in the mid-1990s, I engaged twenty-three women and men from June's Cove in an exploration of notions, attitudes, perceptions and practices of femininity and masculinity. They narrated life stories imbued with their visions, and hopes while constructing meaning on gender identity, work, marriage and self. -- The findings of this research suggest that women and men in June's Cove are engaged in a process of redefinition of notions and values related to marriage, work, "roles" and responsibilities, as well as their attitudes towards femininity and masculinity. Redefining and re-creating social constructs are adaptive responses to and a result of changing social and economic conditions that came with new pressures and demands. Adaptive responses become new social practices, thus changing the local social discourse, which in turn is inscribed in larger changes in gender perceptions and attitudes coming from the wider Canadian society. -- The objective of this thesis is to contribute to the understanding of how women and men cope with social change and creates social meaning around gender identities. The disruption caused by the moratorium produced a loss of traditional sites that sustained traditional gender 'roles,' while creating new sites and new practices through processes of change, interpretation and adaptation. The personal experiences of gender interpretation show how women and men responded to the interplay of concurrent processes such as the cod moratorium, education, social policies, and the local values and institutions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.020 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".