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Uso y abuso de drogas entre estudiantes y su relacion con el maltrato durante la ninez en una universidad de Leon, Nicaragua

2015· article· es· W2274996236 on OpenAlexafffund
Sobeya Peñalba, Robert B. Mann, Hayley A. Hamilton, Patricia Erıckson, Bruna Brands, Norman Giesbrecht, Maria da Glória Miotto Wright, Francisco Cumsille, Jaime Sapag, Akwatu Khenti

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2015
Typearticle
Languagees
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Toronto
FundersForeign Affairs and International Trade CanadaGovernment of Canada
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Estudio exploratorio cuantitativo que examina la relación entre el uso de drogas en estudiantes de una universidad en León, Nicaragua y su relación con el maltrato durante la niñez. Se realizó un estudio de corte transversal con perspectiva bioecológica en 368 participantes, de los cuales 178 (48.4%) eran hombres y 190 (51.6%) mujeres estudiantes de una universidad de León. Entre los resultados se destaca que la negligencia se encontró en 54.6% de los participantes distribuidos por género de igual forma (56.3% hombres y 53.2% mujeres). En relación al abuso psicológico, éste se representó en el 40.5%, siendo el 70 (39.3%) hombres y (79) 41.6% mujeres. El 54.1% de los participantes tenían padres que se han separado, 44.3% viven o han vivido en algún momento de su vida con un alcohólico, 28.8% han presenciado que a su madre o cuidadora fuese abusada, 26.1% han vivido o vive con un familiar con enfermedad mental, mientras que un 21.2% ha vivido con un drogadicto. Se puede concluir que el maltrato infantil es común y que la negligencia es un evento cotidiano entre los participantes del estudio.

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)0.002
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 score0.278
Threshold uncertainty score0.552

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.161
GPT teacher head0.436
Teacher spread0.275 · 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

Citations4
Published2015
Admission routes2
Has abstractyes

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