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Record W2570518792 · doi:10.18192/uojm.v6i2.1388

Chka! A Portrait of Armenian Healthcare

2016· article· fr· W2570518792 on OpenAlexaffvenueabout
Andrea Zumrova

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2016
Typearticle
Languagefr
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsArmenianPortraitContext (archaeology)Political scienceHumanitiesEthnologyArtGeographyHistoryArt historyAncient historyArchaeology

Abstract

fetched live from OpenAlex

ABSTRACTArmenia is an often overlooked country with a colourful history and an unusual healthcare system from the perspective of a Canadian medical student. This report gives a portait of Armenian healthcare practices and some cultural context in which to understand these practices. The information was obtained on my month long elective in Yerevan, Armenia. RÉSUMÉL’Arménie est parfois perçue comme un pays avec une histoire haute en couleur et avec un système de santé hors de l’ordinaire lorsqu’on adopte la perspective des étudiants en médecine au Canada. Ce compte rendu donne un aperçu du système de santé ar­ménien en ce qui concerne ses différentes pratiques médicales et va aussi fournir un contexte culturel pour d’avantage approfondir la compréhension de leurs approches médicales. L’information est fondée et inspirée par mon stage d’observation clinique d’un mois au Yerevan en Arménie.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.239
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.051
GPT teacher head0.349
Teacher spread0.298 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2016
Admission routes3
Has abstractyes

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