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Answering Huxley: an exercise in the history of examinations (1149.2)

2014· article· en· W1595707575 on OpenAlexaffabout
P. K. Rangachari

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReading (process)Set (abstract data type)Medical educationPsychologyMedicinePhysiologyComputer sciencePhilosophyLinguistics

Abstract

fetched live from OpenAlex

Twelve students in an undergraduate health sciences program, who had completed a 2nd year (sophomore) course in Anatomy and Physiology volunteered to participate in a “history” exercise. They answered two essay questions set by Thomas Henry Huxley when he was the Examiner in Physiology and Comparative Anatomy for diverse faculties at the University of London from 1857‐1870. These were selected from a question bank kindly provided by Dr. Pauline Mazumdar (University of Toronto). In preparation for the hour‐long, hand‐written exam, they studied specific sections (liver physiology, blood, vascular system) from two 19th century texts (Foster, Broussais). They later filled out a questionnaire that asked them to contrast the experience of reading older, denser texts and answering essay‐type exams with their more contemporary experiences. Many wrote thoughtful, reflective comments on the exercise that gave them an insight into the difficulties faced by students in the past (8.0 ± 1.4) that also proved to be a valuable learning experience (8.3 ± 1.2).

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.702

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.223
Teacher spread0.181 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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