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Record W2778751290 · doi:10.1177/2374289517747594

Undergraduate Specialist Program in Pathobiology at the University of Toronto

2017· article· en· W2778751290 on OpenAlex
Douglas M. Templeton, Avrum I. Gotlieb

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAcademic Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedical educationCurriculumClass (philosophy)Clinical PracticeMedical schoolClinical scienceMedicineUndergraduate educationPopulationMedical laboratoryClinical biochemistryPathologyDiseasePsychologyFamily medicinePedagogyComputer science

Abstract

fetched live from OpenAlex

Following a merger of the Departments of Pathology, Clinical Biochemistry, and part of Medical Microbiology, our faculty agreed to deliver a new, unique undergraduate program "Specialist in Pathobiology" at the University of Toronto, in order to teach current concepts of mechanisms of disease to students selected from the large undergraduate science population. The emphasis was on molecular and cellular aspects of pathogenesis and not on the clinical practice of laboratory medicine and pathology. Based on the then new Department of Laboratory Medicine and Pathobiology, we drew upon our large faculty and new recruits in both basic and clinical science to deliver a new curriculum that is unique and dynamic. We began admitting students in 2000, and we have now graduated our 15th class. In this study, we describe our philosophy and goals for the program, and report its success based on student outcomes and innovative course offerings.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.378
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it