MétaCan
Menu
Back to cohort
Record W4249050659 · doi:10.32920/14638383.v1

Islam's forgotten contributions to medical science

2021· preprint· en· W4249050659 on OpenAlex
Ingrid Hehmeyer, Aliya Khan

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsMcMaster UniversityToronto Metropolitan University
FundersUniversity of OxfordMcMaster University
KeywordsScholarshipIslamThe RenaissanceMedical sciencePeriod (music)ClassicsHistoryPolitical sciencePhilosophyArt historyMedicineLawAestheticsMedical educationArchaeology

Abstract

fetched live from OpenAlex

The transmission of medical knowledge can be traced to some of the earliest writings in human history. Yet a particularly fruitful period for advancement in medical science emerged with the rise of Islam. For the most part, Western scholarship belittles the contribution of the physicians of the Islamic world. They are usually perceived as simple purveyors of Greek science to the scholars of the Renaissance. However, the facts show otherwise.<p></p>

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0300.000

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 head0.038
GPT teacher head0.320
Teacher spread0.282 · 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

Quick stats

Citations4
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicHistory of Medicine StudiesFrench-language works237,207