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Record W2112326249 · doi:10.1186/1471-2458-13-284

Strategies to sustain and scale up youth friendly health services in the Republic of Moldova

2013· article· en· W2112326249 on OpenAlexaff
Venkatraman Chandra‐Mouli, Valentina Baltag, Luwam Ogbaselassie

Bibliographic record

VenueBMC Public Health · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersWorld Health Organization
KeywordsMedicineBiostatisticsPublic healthEnvironmental healthScale (ratio)EpidemiologyHealth services researchNursingPathologyCartography

Abstract

fetched live from OpenAlex

As part of a multifaceted effort to respond to the needs of young people more effectively, the Ministry of Health of the Republic of Moldova established pilot Youth Friendly Health Centres (YFHC) in 2001. In 2005, after 12 YFHC were set up and implemented, the MOH identified that while they were serving a useful function, four problems remained needed to be addressed - the lack of an operational definition of the term youth friendly health services, the lack of objective data on the added value of the existing YFHC, the low coverage of the existing YFHC and the almost complete reliance on donor agencies for funding the effort. The MOH addressed each of these problems systematically. While challenges still exist, the MOH has taken important steps to ensure that all young people in the country can obtain the health services they need.

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)0.008
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.069
GPT teacher head0.427
Teacher spread0.358 · 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 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

Citations18
Published2013
Admission routes1
Has abstractyes

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