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Record W2996972681 · doi:10.25259/apos_134_2019

Current status of dental and orthodontic education in European and American countries

2019· article· en· W2996972681 on OpenAlexaboutno aff
Kazuo Tanne

Bibliographic record

VenueAPOS Trends in Orthodontics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicDental Education, Practice, Research
Canadian institutionsnot available
Fundersnot available
KeywordsDental educationMedicineAppealFamily medicineDentistryMedical educationPolitical science

Abstract

fetched live from OpenAlex

This article was designed to elucidate the current status of dental and orthodontic education in the European and American countries by a questionnaire survey through internet. In Europe, the size of orthodontic society and the number of orthodontic department or dental school are small when compared to those in USA. In Europe and South America, it takes 5 to 6 years to complete undergraduate dental education for dentist. Meanwhile, in Canada and USA, dental school system has been developed, requiring 8-year education to become dentist. For orthodontic specialists, in general, it takes 3 years on average in European and American countries with an exception of 4-year training in Switzerland. Most societies in European and American countries have two important issues such as inappropriate orthodontic treatment and incorrect use of aligners by general practitioners. The most important strategy is to appeal the public that orthodontic treatment should be executed by orthodontic specialists. In conclusion, it is shown that the educational systems for dentist and orthodontist have well been developed in every country in the world, although the strength is somewhat different from country to country.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.071
GPT teacher head0.514
Teacher spread0.442 · 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 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

Citations4
Published2019
Admission routes1
Has abstractyes

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