Gender and the Newfoundland fishery crisis, a re-examination of adjustment
Bibliographic record
Abstract
The purpose of this Major Report is to address the issue of gender in relation to the fishery crisis and two of the largest federal government adjustment programs (NC ARP and TAGS) designed and implemented to meet the needs of those left unemployed in the fishing industry. The working hypothesis of this Major Report is that NCARP and TAGS neglected to meet adequately the needs of women working in the processing sector of the fishery due, in large part, to a lack of attention to previous research and experience on the part of those responsible for designing and implementing these adjustment programs. -- One of the most important findings of this research is what it revealed about the lack of coordination of efforts of the federal and provincial government departments responsible for responding to the crisis. In particular, these programs have not adequately addressed the needs of women working in the processing sector of the fishery. Arguably, it is very much in the public interest that the failure of the adjustment programs and their differential impact on men and women be fully understood. It is one of the recommendations of this report that such research be carried out.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".