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Record W2994701078 · doi:10.1080/02673843.2019.1699839

“It goes beyond the fundamentals of sex and education.” Analysis on the online commenting on the curriculum reform in Ontario

2019· article· en· W2994701078 on OpenAlexaboutno aff
Maiju Saarreharju, Satu Uusiautti, Kaarina Määttä

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumSociologyPoliticsContent analysisCorporationProcess (computing)Qualitative researchPolitical sciencePublic relationsPedagogyMedia studiesSocial scienceLawComputer science

Abstract

fetched live from OpenAlex

School-based sex education is a sensitive topic that divides opinions. This research focuses on the 2015 curriculum reform on sex education in Ontario and especially on the public online commenting on it. It was considered an interesting example of how educational reforms arouse debate and how the media can influence opinions. The data comprises comments (N = 544, of which 453 were included in the analysis) on a news article published by the Canadian Broadcasting Corporation (CBC). The qualitative content analysing method was used for answering the main research question: What are netizens commenting regarding the curriculum reform in Ontario? The most significant themes were various emphases between children’s rights and adults’ values; political dimensions of the curriculum reform; and appropriate timing for sex education. Instead of clear differences of opinions, netizens seemed to highlight different kinds of priorities. The research helps in understanding the multidimensional process of curriculum reform in a broader manner.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.006
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.305
Teacher spread0.279 · 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 designQualitative
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

Citations10
Published2019
Admission routes1
Has abstractyes

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