MétaCan
Menu
Back to cohort
Record W3024045673

HISTORY OF PSYCHIATRY IN GEORGIA: HIDDEN PAGES (DEDICATED TO OUR TEACHERS).

2017· article· en· W3024045673 on OpenAlexaff
V Kentchadze, Nino Okribelashvili, G Naneishvili

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsGeorgianPsychiatryHistory of psychiatryState (computer science)PsychologyPeriod (music)MedicineLibrary scienceArtPhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Psychiatry preserves a special place among the diverse medical specialties. It is noteworthy that in Europe and America the professional and scientific psychiatry gradually emerged during the second half in 1800s. Roots of psychiatry in Georgia go back to the distant past. However, the modern scientific psychiatry started developing in Georgia shortly after the foundation of the medical faculty at Tbilisi State University (1921) and is closely are associated with the name of Prof. M.Asatiani (1882-1938). This survey reflects data from all obtainable and basic psychiatric records of this period and provides brief description of significant achievements of psychiatrists, working in Georgia during 1920-1940 (M. Asatiani, A. Gotsiridze, N. Veshapeli, O. Chitava, Sh. Kipiani, G. Shengelaia, I. Menteshahvili, A. Zurabashvili, I. Bzhalava, E. Nakashidze, E. Gobronidze, V. Gudiashvili, Sh. Kvitsaridze, A. Amirgarov, N. Shubladze, I. Tavdishvili, Hovakim, Nikolava, Sulava, Shiukashvili, I. Egizarov). Finally, we would like to emphasize that Georgian psychiatrists widely presented quantitative and qualitative studies on methodology and on treatment of main mental disorders, described their views on psychology, characterology, pathophysiology, physiology, morphology, psychotherapy, classification and etc.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.996
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0020.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.016

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 head0.068
GPT teacher head0.263
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicMental Health and PsychiatryFrench-language works237,207