MétaCan
Menu
Back to cohort

El uso de drogas entre los estudiantes universitarios y su relación con el maltrato durante la niñez y la adolescencia

2015· article· es· W2275941044 on OpenAlexafffund
Yolanda Gonzalez, Robert B. Mann, Hayley A. Hamilton, Patricia Erıckson, Jaime Sapag, Bruna Brands, Carol Strıke, Laura Simich, Norman Giesbrecht, Maria da Glória Miotto Wright, Francisco Cumsille, Akwatu Khenti

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2015
Typearticle
Languagees
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsCentre for Global Health ResearchPublic Health OntarioUniversity of Toronto
FundersForeign Affairs and International Trade CanadaInter-American Drug Abuse Control Commission, Organization of American StatesGovernment of Canada
KeywordsHumanitiesPolitical sciencePsychologyArt

Abstract

fetched live from OpenAlex

Panamá, país de tránsito para productores y consumidores de drogas, generando economía emergente, cultura de violencia y maltrato en la familia y comunidad, siendo niños y adolescentes vulnerables al uso y abuso de drogas por exposición prolongada al maltrato. Se determina independencia o relación entre uso y abuso de droga con el maltrato durante la niñez y la adolescencia en estudiantes en una universidad en la ciudad de Panamá. Se aplicó el método cuantitativo, diseño transeccional, correlacional, muestreo estratificado, muestra de 377 estudiantes de 12 facultades por afijación proporcional. Instrumento aplicado: "Cuestionario Uso de Drogas y Experiencias Adversas de la niñez". La prueba chi-cuadrado, test de independencia, comprobó no independencia entre uso y abuso de drogas posterior al maltrato como abuso sexual, con p-valor asociado 0,021, al 95% nivel de confianza, con significancia de p< de 0,05; determinantes para consumo posterior: madre maltratada, separación o divorcio de padres, pares consumidores.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.173
GPT teacher head0.402
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueTexto & Contexto - EnfermagemSame topicSubstance Abuse Treatment and OutcomesFrench-language works237,207