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Record W2772065733 · doi:10.1590/cc0101-32622017176122

O DESAFIO DO ATENDIMENTO À CRIANÇA RURAL NO CANADÁ

2017· article· pt· W2772065733 on OpenAlexaff
Susan Prentice

Bibliographic record

VenueCadernos CEDES · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

RESUMO: No Canadá, o atendimento à infância é pouco desenvolvido, apesar de o país ser uma federação rica. Ao contrário de muitas políticas sociais bem desenvolvidas, os serviços de atendimento à infância são principalmente ofertados por meio de mercados voluntários, comerciais ou sem fins lucrativos, em vez de iniciativas governamentais. Essa estrutura política desfavorece todas as crianças e famílias e tem consequências severas, particularmente para canadenses de áreas rurais, remotas e do norte do país. Este artigo fornece uma visão geral dos servidos de atenção à infância fora das cidades, considerando (a) como o sistema político canadense de federalismo e (b) sua arquitetura política liberal de bem-estar social trabalham contra a alta qualidade e equidade dos serviços.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.547

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.067
GPT teacher head0.385
Teacher spread0.318 · 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 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

Citations6
Published2017
Admission routes1
Has abstractyes

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