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Record W2413371071 · doi:10.3138/jcfs.42.1.1

International Research on Parenting and Parent Education: Collaborative Conference and Beyond

2011· article· en· W2413371071 on OpenAlexvenueno aff
Arminta Jacobson, Rudy Ray Seward

Bibliographic record

VenueJournal of Comparative Family Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyCoping (psychology)Political scienceDeviance (statistics)Public relationsEconomic growthPsychology

Abstract

fetched live from OpenAlex

Globally, parents in families are coping with major societal changes. Economic distress, shifting resource allocation, and other societal pressures challenge today’s parents. Consequently, scholars in growing numbers focus on issues related to parenting and parent education. The papers in this special issue represent a very small but geographically diverse sample of the research of current global research on parenting. Global issues related to public policy and practices in a changing world are examined. Specific topics include contemporary international issues of maternal and paternal leave, cross-cultural influences, parenting policies, fertility, and relationships between deviance and parenting. Earlier versions of the papers were presented by scholars at the 2009 International Conference on Parent Education and Parenting. The conference was the first joint meeting of the University of North Texas’ Center for Parent Education (CPE) and the International Sociological Association’s Committee on Family Research (CFR). Because of the success of this initial conference the collaboration has continued and the third annual international conference is being planned in 2011. Detailed information about the CPE, the 2009 conference, other international research, practice presentations, and directions for future research are presented.

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)0.046
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.045
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.013
Science and technology studies0.0080.005
Scholarly communication0.0240.027
Open science0.0050.027
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0320.006

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 head0.406
GPT teacher head0.504
Teacher spread0.098 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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