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Record W4245016747 · doi:10.32920/ryerson.14661570.v1

The Ontario parent involvement policy analysis

2021· preprint· en· W4245016747 on OpenAlexaffabout
Anna Pilewska‐Kozak

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEmpowermentOppressionSocioeconomic statusCritical discourse analysisPower (physics)SentencePsychologySociologyPublic relationsSocial psychologyPolitical scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

This study examines Ontario Parent Involvement Policy through the use of critical discourse analysis (CDA). The discourse patterns within the policy are analyzed in order to expose any implicit or explicit power relationships. As part of CDA, critical linguistics are applied, to reveal patterns of written form, such as grammar or sentence structure that may reinforce traditional social and/or educational practices which marginalize certain groups of people. The results suggest that the policy document uses both implicit as well as explicit language that disempowers and marginalizes certain groups of parents. Also, there is visible oppression of minority parents as they are inadequately acknowledged or completely unrepresented in the content of the policy. Although, the policy attempts to eliminate power structures by refocusing control over resources onto parent groups and providing vehicles for parent voice empowerment, many parents are excluded as a result of barriers preventing them from being involved in the school system. Barriers faced by parents are exacerbated for minority parents due to challenges associated with past experiences. language, socioeconomic status, supporting the needs of children with exceptionalities, and lack of familiarity with the system.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.100
GPT teacher head0.393
Teacher spread0.293 · 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.

Study designNot applicable
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

Citations4
Published2021
Admission routes2
Has abstractyes

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