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Record W2562675296

Plan de Mejoras al Clima Laboral Para el Personal Del Hospital Oskar Jandl de San Cristóbal- Galápagos en el Periodo 2014-2015.

2016· dissertation· es· W2562675296 on OpenAlexaboutno aff
Salvatierra Gonzalez, Marlene María

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldSocial Sciences
TopicPublic Health and Social Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceCartographyArtGeography
DOInot available

Abstract

fetched live from OpenAlex

Hospital oskar jandl situado en san cristobal de las islas galapagos, para poder aumentar la eficiencia y cumplir los lineamientos del modelo de gobierno, (mais) sistema que permite integrar todos los niveles de salud de manera estrategica a la atencion primaria de salud en el ecuador, durante los anos 2014 y 2015, debe prepararse de mejor manera y en un espacio muy reducido de tiempo; afrontar grandes desafios uno de ellos el traslado de su personal y equipos a una nueva y amplia infraestructura; factores claves para alcanzar la acreditacion canada internacional - nivel oro. Este es un proceso de prioridad que se identifica por tener un impacto significativo en la seguridad del paciente y mejorar la calidad de atencion y servicio acorde al plan del buen vivir requisito que se exige a todos los hospitales pertenecientes al ministerio de salud publica dentro del pais; por lo que se realizan cambios radicales.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.031
GPT teacher head0.400
Teacher spread0.369 · 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 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
Published2016
Admission routes1
Has abstractyes

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