Women, work, and computerization : charting a course to the future : IFIP TC9 WG9.1 Seventh International Conference on Women, Work, and Computerization, June 8-11, 2000, Vancouver, British Columbia, Canada
Bibliographic record
Abstract
Acknowledgements E. Balka, R. Smith. Introduction E. Balka. 1: The Absence of Women in Computing. Making the Computer Masculine E. Van Oost. Do Computers Transform People Into Women and Men? B. Torpel. Net Gains R. Pringle, S. Nielsen, L. Von Hellens, A. Greenhill, L. Parfitt. Women And Computing D. Ramanee Peiris, P. Gregor, Indigo V. 2: Training and Careers. The Globalization Of Gender in IT M. Suriya, A. Panteli. Women in Computer Science I. Miliszewska, J. Horwood. Gender Differences in Vancouver Secondary Students V. Chan, K. Stafford, M. Klawe, G. Chen. Why I.T. Doesn't Appeal to Young Women J. Symonds. Computer Self Efficacy and Gender A. Durndell, Z. Haag, D. Asenova, H. Laithwaite. Where Are They At With IT? A. Craig, A. Stein. ARC M. Klawe, I. Cavers, F. Popowich, G. Chen. 3: The Nuts and Bolts of System Design. Information Systems A. Adam. Constructing Common Sense C. Sherron. Masculine World Disguised as Gender Neutral T. Kuosa. Doubting the Object World C.K.M. Crutzen, J.F.Gerrissen. Gendered User-Representations E. Rommes. Information System Development Methodologies H. Abimbola Soriyan, A. Mursu, M. Korpela. Will ETs Understand Us If They Make Contact? E. Turner, L. Stepulevage. 4: Gender Differences in Computer Use. Considering the Gender of Your Web Audience J. Fisher, A. Craig. Gender Differences in Web Navigation S. Mcdonald, L. Spencer. Women in Computer-Mediated Discussions C. Owen. 5: Citizenship. Electronic Democracy P. Roberts. Discourses and Cracks A. Ekelin, P. Elovaara. LocalInterpretations of Information Technology S. Tuuva. Courting Women E-Com L. Regan Shade. 6: Computers in Everyday Life. Negotiating Time and Space for Every-Day Pleasure E. Green. Young Girls On the Internet T. Hapnes, B. Rasmussen. New Technology Increasing Old Inequality? T. Hapnes, B. Rasmussen. 7: Women and Work. Squeezing Librarians Out Of The Middle R. Harris. Sleep in a Sleepless Age? A. Pugh. 'My Home Workplace is My Castle' C. Fulton. The Cottage or the Sweatshop? S. Bryant. Small Business Use of Electronic Networks L. Wood. 8: The Use of Computers in Education. Feminist Pedagogy and the Lap Top Computer P. Chegwidden. Education On-Line: What's In It For Women? H.J. Richardson, S. French.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".