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Record W2259922018

THE FIRST ABUMAHER SHIRAZI AWARD (2012) FOR RESEARCHERS IN THE FIELD OF HISTORY OF MEDICINE

2013· article· en· W2259922018 on OpenAlexaboutno aff
Arman Zargaran

Bibliographic record

VenueJournal of research on history of medicine · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCeremonyHonorPersianMedalTraditional medicineIslamAncient historyMedicineClassicsMiddle EastHistoryLawPolitical scienceTheologyPhilosophyArt history
DOInot available

Abstract

fetched live from OpenAlex

Fars province and the city of Shiraz were important centers of medical sciences in ancient and medieval period. At present, also Shiraz accommodates one of the most outstanding universities, as well as medical centers and hospitals both in Iran and the Middle East.1 In this regards, the Research Office for the History of Persian Medicine held a ceremony in Shiraz to honor scholars in the field of the history of medicine. This ceremony was held accomponied with the 4th Seminar on History of Persian and Islamic Medicine. Also a grant and a medal in the name of Abumaher Shirazi, the father of Shiraz medical doctrine (10th century AD)2 were, for the first time, given to the winners of this award on 28 Feb, 2013. The winners of the first period were Prof. Sirus Gerami from Delhaize University (Canada) in the section of Veteran and Pioneers and Dr Arman Zargaran from Shiraz University of Medical Sciences in the section of Young Researcher. This ceremony will be held on a yearly basis every February. Applicants for second grant (2013) can send their CV (2013) until 15 January 2014 to medhist@sums.ac.ir.

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)0.015
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.012
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.282
GPT teacher head0.409
Teacher spread0.128 · 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.

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
Published2013
Admission routes1
Has abstractyes

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