eGirls, eCitizens : Putting Technology, Theory and Policy into Dialogue with Girls’ and Young Women’s Voices
Bibliographic record
Abstract
eGirls, eCitizens is a landmark work that explores the many forces that shape girls’ and young women’s experiences of privacy, identity, and equality in our digitally networked society. Drawing on the multi-disciplinary expertise of a remarkable team of leading Canadian and international scholars, as well as Canada’s foremost digital literacy organization, MediaSmarts, this collection presents the complex realities of digitized communications for girls and young women as revealed through the findings of The eGirls Project (www.egirlsproject.ca) and other important research initiatives. Aimed at moving dialogues on scholarship and policy around girls and technology away from established binaries of good vs bad, or risk vs opportunity, these seminal contributions explore the interplay of factors that shape online environments characterized by a gendered gaze and too often punctuated by sexualized violence. Perhaps most importantly, this collection offers first-hand perspectives collected from girls and young women themselves, providing a unique window on what it is to be a girl in today’s digitized society.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".