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College Students' Attitudes Toward Children's Nurturance and Self‐Determination Rights<sup>1</sup>

2003· article· en· W2091423863 on OpenAlexaffabout
Michele Peterson‐Badali, Martin D. Ruck, Elizabeth Ridley

Bibliographic record

VenueJournal of Applied Social Psychology · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyInterpersonal communicationSocial psychologySelf-determinationDevelopmental psychologyLawPolitical science

Abstract

fetched live from OpenAlex

Increasing attention is being paid to children's rights issues in policy and law. However, there is little recent research examining adults’ attitudes toward children's rights. This is an important question given that children's rights are unlikely to be fulfilled if they are not supported by the adults involved in their lives. Attitudes toward nurturance and self‐determination rights were examined in 461 undergraduate students from the United States and Canada. Students were asked to think of a “target child” (8, 10, 12, 14, or 16 years) when answering the questions. Students strongly endorsed nurturance rights, but were generally unsupportive of children's rights to self‐determination. Canadians showed greater support for self‐determination than did Americans. In both groups, endorsement increased significantly with the age of the target child. Commenting on factors they considered when responding to the items, participants perceived children's rights as dependent on personal, interpersonal, and societal factors.

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)0.005
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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.408
Teacher spread0.378 · 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

Citations34
Published2003
Admission routes2
Has abstractyes

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