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Record W4404729572 · doi:10.6115/her.2024.051

An Analysis of the Achievement Standards of the Home Economics Curriculum in Ontario, Canada from the Perspective of Habermas' Three Systems of Action

2024· article· en· W4404729572 on OpenAlexaboutno aff
Tae Young Oh Kyung Soon Lee Byung Jo Kim, Cho Kang, Seong Min Lee, Cho Yeon Ha, G Park, S. Kim, Seong Youn Choi, Jung Hyun Chae

Bibliographic record

VenueHuman Ecology Research · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Research and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPerspective (graphical)Action (physics)Learning standardsUnit (ring theory)SociologyMathematics educationPedagogyPsychologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to analyze the achievement standards presented in the Home Economics (HE) curriculum in Ontario, Canada, from the perspective of Habermas's three systems of action (technical, communicative, and emancipative action) to determine how these three systems are reflected in the achievement standards of the curriculum. The study analyzed the achievement standards of the HE curriculum (grades 9-12) in Ontario, Canada, using content analysis techniques and calculated the frequency and percentage. The Canadian HE curriculum in Ontario consists of Fashion, Housing, Food and Nutrition, General Family Studies, and Raising and Caring for Children, with a total of 1,035 achievement standards in technical (47.6%), communicative (35.5%), and emancipative action (16.9%). There were differences in the main action of each unit, but most units reflected the three systems of action to present achievement standards. In the results of this study, the HE curriculum in Ontario, Canada can be used as basic data to realize the mission of HE Education by presenting achievement standards according to Habermas' three systems of action.

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)0.000
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 score0.101
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.079
GPT teacher head0.404
Teacher spread0.325 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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