Building Brave Spaces in Midwifery / Construire des espaces courageux dans la profession de sage-femme
Bibliographic record
Abstract
We look forward to watching our collaboration grow and inviting more racialized midwives to present their expertise, and continuing to enjoy the camaraderie of Indigenous, Black, and People of Colour (racialized) midwives and midwifery students nationally. We hope this commentary will inspire other equity deserving groups to come together and learn from our experience so that more brave spaces can be borne and nourished. RÉSUMÉNous avons hâte de voir notre collaboration se développer et d’inviter d’autres sages-femmes racialisées à présenter leur expertise, et de continuer à profiter de la camaraderie des sages-femmes autochtones, noires et de couleur (racialisées) à l’échelle nationale. Nous espérons que ce commentaire incitera d’autres groupes méritant l’équité à se réunir et à apprendre de notre expérience afin que d’autres espaces courageux puissent voir le jour et être nourris.
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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 | 0.057 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.011 |
| 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; both teacher heads agree on what is shown here.
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".