Bibliographic record
Abstract
The concerns addressed by the authors in this issue point to the need for a reimagining of girlhood as it is currently framed by settler and carceral states. To quote the guest editors, Sandrina de Finney, Patricia Krueger-Henney, and Lena Palacios, “The very notions of girl and girlhood are embedded in a colonial privileging of white, cis-heteropatriarchal, ableist constructs of femininity bolstered by Euro-Western theories of normative child development that were—and still are—violently imposed on othered, non-white girls, queer, and gender-nonconforming bodies.” Indigenous-led initiatives in Canada, such as the Networks for Change: Girl-led ‘from the Ground up’ Policy-making to Address Sexual Violence in Canada and South Africa project, highlighted in four of the eight articles in this issue, along with the insights and recommendations offered in the articles that deal with the various positionalities and contexts of Latinx and Black girls, can be described as creating a new trail. In using the term trail, here, I am guided by the voices of the Indigenous researchers, activists, elders, and community scholars who participated in the conference called More Than Words in Addressing Sexual and Gender-based Violence: A Dialogue on the Impact of Indigenous-focused, Youthled Engagement Through the Arts on Families and Communities held in Montreal. Their use of the term trail suggests a new order, one that is balanced between the ancestors and spiritual teachings on the one hand, and contemporary spaces that need to be decolonized on the other with this initiative being guided by intergenerationality and a constant interrogation of language. The guest editors of this special issue and all the contributors have gone a long way on this newly named trail.
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 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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.026 | 0.021 |
| Scholarly communication | 0.037 | 0.045 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.069 | 0.022 |
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".