Bibliographic record
Abstract
"Fetus in Situ” is a traditional flat-stitch Métis beadwork piece by settler-Métis artist and medical student Jamie Thompson. The piece measures 10.3 x 8.5cm and is handmade with size 15, 11, and 10 Czech seed beads, depicting a Black fetus with their head within a pelvic bone, about to be born. It considers the structural inequities that Indigenous, Black, and other people of the global majority (PGM) face in Canadian healthcare and in medical imagery. Considering that 30 percent of Canada’s population is non-white and encounters significant social barriers to healthcare access, the representation of non-white skin tones in only 4.5 percent of medical textbooks’ illustrations fails to represent a diversified population (Louie & Wilkes, 2018). In obstetrics specifically, Black women face a three-fold higher risk of death in pregnancy or childbirth compared to their white peers, and there is a studied need for anti-Black racism training and Black healthcare provider representation in obstetrics, a discipline which was founded on experimentation upon Black slaves (Statistics Canada, 2022., CDC, 2024). Click on the PDF link under the image for the full description.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.114 | 0.031 |
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".