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Record W2312964978 · doi:10.5794/jjoms.59.70

A history of the American Association of oral and maxillofacial surgeons

2013· article· en· W2312964978 on OpenAlexaboutno aff
Masahiko Mori, Kousuke Naganawa, Yuichi Ehara, Shinichiro Sumitomo, Masayuki Motohashi, Michio Shikimori

Bibliographic record

VenueJapanese Journal of Oral & Maxillofacial Surgery · 2013
Typearticle
Languageen
FieldHealth Professions
TopicDental Education, Practice, Research
Canadian institutionsnot available
FundersGeorge Washington University
KeywordsMedicineOral and maxillofacial surgeryOral surgeryDentistryDental educationOral medicineGeneral surgeryFamily medicine

Abstract

fetched live from OpenAlex

Before independence of the USA, diagnosis and treatment, including surgical operations of oral and maxillofacial lesions were performed by medical doctors of European emigrants and their American disciples. The first American dental school was founded in 1840 and exodontia was established to be the core of most educational programs in oral surgery for almost 100 years. The earliest American dental schools did not contribute to the development of oral surgery. The Journal of Oral Surgery, which was the first specialized journal of oral surgery in the USA, was published in 1943 by the American Dental Association.Many emigrants played an important role in upgrading educational programs in oral and maxillofacial surgery, including AJ Asgis (Russia), RH Ivey (1881 UK), VH Kazamjan, (1879 Armenia), CW Waldrom (1887 Canada), and K Thoma (1883 Switzerland). In 1938 Asgis emphasized the importance of including basic sciences in American dental education programs. The same opinion was asserted by Thoma in 1957. These opinions stressed that the educational programs of American dentistry should include basic sciences. Lack of knowledge about basic sciences would be unsuitable for dental medicine and might impair the development of oral and maxillofacial surgery.

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)0.004
metaresearch head score (Gemma)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.385
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

Classification

machine, unvalidated

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

Study designObservational
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

Explore more

Same venueJapanese Journal of Oral & Maxillofacial SurgerySame topicDental Education, Practice, ResearchFrench-language works237,207