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Record W278983380 · doi:10.54195/ijpe.18157

Legal and Cultural Contexts of Parent-Teacher Interactions: School Councils in Canada

2023· article· en· W278983380 on OpenAlexaffabout
Ken Brien, Bonnie Stelmach

Bibliographic record

VenueInternational Journal about Parents in Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of SaskatchewanUniversity of FrederictonUniversity of New Brunswick
Fundersnot available
KeywordsStatutory lawGovernment (linguistics)Political scienceValue (mathematics)Power (physics)PedagogyWelfarePublic relationsPsychologyLaw

Abstract

fetched live from OpenAlex

Parents and teachers interact because of their shared responsibility for the welfare of the children in their care. Research indicates that teachers value parental involvement in their students’ education. There is also evidence that parents place a great deal of trust in their children’s teachers. This interaction, with significant influence on the learning outcomes of students, occurs within a complex set of legal frameworks and cultural contexts. These include such legal considerations as international treaties on family and children’s rights, national constitutional rights, and statutory rights and responsibilities of parents, teachers, and the state. Cultural factors include issues of engagement, marginalization, and power relationships. Societal evolution has also led to changing rights, responsibilities, and expectations for parents, teachers, and students. Parent-teacher relationships have also been affected by recent government initiatives to promote parental involvement in education through the creation of school councils. This paper, based on Canadian research on parental involvement in schooling and an analysis of Canadian and international legal principles, will illustrate the interplay of these legal and cultural considerations. The intent of this paper is to encourage better understanding of the complexity within the parent-teacher relationship.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.121
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.394
Teacher spread0.349 · 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

Citations15
Published2023
Admission routes2
Has abstractyes

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