From sea to cyberspace: women’s leadership and learning around information and communication technologies in Coastal Newfoundland
Bibliographic record
Abstract
Due to a moratorium on the cod fishery in 1992, small, isolated coastal villages in Newfoundland suffer increasing unemployment, health problems and threats of re‐location by the government. In the hopes of addressing some of these problems, the Burgeo Broadcasting System (BBS) placed video‐conferencing and broad‐band internet into five small communities on the southwest coast. The purpose of our feminist participatory research process was to engage women in these communities in individual and collective discussions around the problems and potentials of these Information Communication Technologies (ICTs) in terms of learning, health, well‐being and economic resilience. We discovered the major problems are technical capacity and training, the top‐down implementation of the ICT process, indifference and a belief in the neutrality of technology. But we also uncovered a healthy resistance when and where it mattered, profound alacrity to using and learning the equipment if it meant a benefit to the community, a holistic pedagogical view and a strong sense of collective agency and responsibility. These have important implications for strengthening community‐based ICT education and research.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".