Bibliographic record
Abstract
Authentik: Th e voice of real girls—a for-girls-and-by-girls Quebec-based English magazine—has just released its first issue. Th e publication, which is distributed across the province,1 a joint initiative of Maison des Jeunes Bordeax-Cartierville and Laval Liberty Community Learning Centre, is funded in part by Canadian Department of Heritage, Th e Solstice Foundation and Caisse Desjardins de Chomedy. Th e English edition follows in the footsteps of the award winning French language publication—Magazine Authentik—which is now in its third year.2 Th e goal of the magazine is to encourage critical thinking, selfesteem and creative expression among girls between 12 and 17 years of age. Th is youth-based, participatory publication focuses on creating a platform from which girls can work together as agents of change and create something that can have a positive infl uence in their lives and in the lives of other girls. “We all did bits and pieces and we took all the pictures,” said 17 year-old Joanne.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".