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Record W2774084223 · doi:10.5430/jct.v6n2p102

A Study on the Interpretive Structural Model to Discuss the Analysis of Curriculum Planning and Benefit among Cosmetology and Hair Salon Professional Courses in College - Department of Cosmetic Applications and Management

2017· article· en· W2774084223 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Curriculum and Teaching · 2017
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsCosmetologyBeautificationCurriculumSalonMedical educationPsychologySociologyMedicineEngineeringPedagogy

Abstract

fetched live from OpenAlex

This research aims to analyze the Curriculum planning and benefit between departments of beautification in collegeand the professional courses by using ISM. To understand the link between different professional courses ofbeautification in college and find out the connections, Department of Cosmetic Science will be taken as an example.The result will benefit to future developing plans of the courses in Department of Cosmetic Science. The object ofthis research is all Department of Cosmetic Science in college in Taiwan. All professional courses related withDepartment of Cosmetic Science were discussed. The content and hierarchy of courses were analyzed andsummarized by using ISM. By clarifying the suitability of them as well as promoting Department of CosmeticsScience’s future development, all three parties, including the courses, lecturers and students, can achieve the besteffect from this research.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.357
Teacher spread0.337 · 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