Bibliographic record
Abstract
Fighting for a Hand to Hold by Dr. Samir Shaheen-Hussain is a heartbreaking and compelling read depicting the history of injustices, terror and trauma inflicted upon Indigenous children by the Canadian medical system. As an emergency pediatrician at the McGill University Health Centre and associate professor at McGill University, Dr. Shaheen-Hussain weaves his clinical experiences and long-standing advocacy efforts alongside archival research to shed insight on medical colonialism. This piece is structured in two parts: a book review followed by a personal reflection. It is accompanied by a podcast interview with Dr. Shaheen-Hussain in which he discusses his social justice work, his book, and advocacy advice for students in healthcare. This book review highlights the importance of Fighting for a Hand to Hold as a seminal piece of literature for all healthcare professionals and trainees across Canada. In the personal reflection, the author considers their own experiences with race and racism as a person of colour, settler Canadian, and medical student. This reflection concludes by advocating for more emphasis on Indigenous health in Canadian medical education and practice.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.020 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".