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Record W3113169046 · doi:10.12973/ejper.3.2.111

The Intersect of Social Justice and Children’s Right to Participation: Implications for the Field of School Psychology

2020· article· en· W3113169046 on OpenAlexafffund
Ziba Vaghri, Shane R. Jimerson, Cara Pearson, Charlotte Sinclair

Bibliographic record

VenueEuropean Journal of Psychology and Educational Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversity of VictoriaUniversity of New Brunswick
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsConvention on the Rights of the ChildEconomic JusticeConventionSchool psychologySocial justicePolitical scienceField (mathematics)Style (visual arts)Human rightsPsychologyPedagogyLawSociologyCriminology

Abstract

fetched live from OpenAlex

<p style="text-align:justify">The United Nations Convention on the Rights of the Child (CRC) is the first human rights treaty with the ultimate goal of providing conditions conducive to child health and development. The CRC is grounded on four guiding principles: (1) non-discrimination; (2) best interests of the child; (3) the right to life, survival, and development; and (4) respect for the views of the child. These CRC principles are consistent with a social justice approach within the field of school psychology. This article highlights implications for school psychologists and encourages school psychologists to be at the center of the process of measuring, advocating, and actualizing all rights under the CRC, including the right to participation, in schools throughout the world. A summary of the Rights Respecting Schools initiative is offered to provide a concrete example for school psychologists and other school-based professionals.</p>

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.168
GPT teacher head0.532
Teacher spread0.365 · 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 teacher head, 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

Citations3
Published2020
Admission routes2
Has abstractyes

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