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Qual a dor do mora(dor) de rua

2015· article· pt· W2771834784 on OpenAlex
Ariane Graças de Campos, Eliseth Ribeiro Leão

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista de Enfermagem UFPE on line · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

ABSTRACT Objectives : to determine the prevalence of pain in homeless people from downtown Sao Paulo, characterize it, unveiling its implications for general activities present in the Brief Pain Inventory. Method : descriptive, exploratory, cross-sectional study with a quantitative approach. The sample is composed of registered homeless by a Street Clinic team. The instruments used in data collection will be the form of recruitment of inclusion/exclusion criteria, form of socio-demographic data, Brief Pain Inventory, McGill Pain Questionnaire and Wong-Baker Face Scale. Expected results : it is visible the homeless pain to offer subsidies for a competent evaluation of that pain, better control and treatment by health teams. Descriptors : Pain; Homeless; Nursing; Culturally Competent Health Care; Access to Health Services. RESUMO Objetivos : conhecer a prevalencia da dor nos moradores de rua do centro de Sao Paulo, caracteriza-la, e desvelar suas implicacoes nas atividades gerais que compoem o Inventario Breve de Dor. Metodo : estudo descritivo-exploratorio, transversal, com abordagem quantitativa. A amostra sera composta por moradores de rua cadastrados por uma equipe de Consultorio na Rua. Os instrumentos utilizados na coleta de dados serao o formulario de recrutamento de criterios de inclusao/exclusao, formulario dos dados sociodemograficos, Inventario Breve de Dor, Questionario de Dor McGill e Escala de Face Wong-Baker. Resultados esperados : tornar visivel a dor do morador de rua para oferecer subsidios para uma avaliacao competente desta, melhor controle e tratamento pelas equipes de saude. Descritores : Dor; Morador de Rua; Enfermagem; Assistencia a Saude Culturalmente Competente; Acesso aos Servicos de Saude. RESUMEN Objetivos : conocer la prevalencia del dolor en las personas sin hogar del centro de Sao Paulo, caracterizarlas, desvelar sus implicaciones en las actividades generales que componen el Inventario Breve de Dolor. Metodo : estudio descriptivo-exploratorio, transversal, con enfoque cuantitativo. La muestra sera compuesta por personas que viven en la calle registrados por un equipo de Consultorio en la Calle. Los instrumentos utilizados en la recoleccion de datos seran el formulario de reclutamiento de criterios de inclusion/exclusion, formulario de los datos socio-demograficos, Inventario Breve de Dolor, Cuestionario de Dolor McGill y Escala de Face Wong-Baker. Resultados esperados : tornar visible el dolor de la persona que vive en la calle para ofrecer subsidios para una evaluacion competente de ese dolor, mejor control y tratamiento por los equipos de salud. Palabras clave : Dolor; Personas sin Hogar; Enfermeria; Asistencia a la Salud Culturalmente Competente; Acceso a los Servicios de Salud. Normal 0 21 false false false PT-BR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Tabela normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Times New Roman; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Times New Roman; mso-bidi-theme-font:minor-bidi;}

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.146
GPT teacher head0.409
Teacher spread0.263 · 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