Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Approximately 30% of Canadians will be members of a visible minority by 2031. When dermatology became an independent medical discipline in the late 18th and early 19th centuries, most residents of Canada and the United States were of Northern European descent. Morphology and descriptions of dermatoses are based on patients with light skin. Skin of colour dermatology refers to a unique field in dermatology dedicated to the diagnosis and management of disorders that are more prevalent in patients with moderately to richly pigmented skin. Important differences in the presentation of common dermatoses such as seborrheic dermatitis and acne exist in patients with darker skin types. The effect of traditional treatments for common and uncommon dermatoses is also an important consideration in managing patients with skin of colour. Such treatments may result in adverse effects such as postinflammatory hyperpigmentation or keloid scarring at a higher rate. Most respondents from a 2013 UK study of dermatology residents and consultants agreed that individuals with 'ethnic skin' had specific and unique dermatological problems. The Royal College of Physician and Surgeons of Canada's Objectives of Training in Dermatology states that residents must demonstrate the requisite knowledge, skills, and attitudes for effective patient-centred care and service to a diverse population. Future steps include creating a national society of dermatologists interested in clinical and academic aspects of ethnic dermatology. As well, presentations on skin of colour dermatology could be encouraged at major Canadian dermatology meetings.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it