MétaCan
Menu
Back to cohort
Record W2926396199 · doi:10.5539/jel.v8n3p13

Why Has Japanese Educational Reform Come to a De Facto End?

2019· article· en· W2926396199 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 Education and Learning · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Reforms and Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsDe factoCurriculumGovernment (linguistics)Period (music)Education reformPolitical scienceHigher educationEconomic growthDemographic economicsEconomics

Abstract

fetched live from OpenAlex

A reform of public education in Japan took place from the 1980s, coming to a de facto end in 2013. The reform, which affected large numbers of Japanese children, focused on creating a more flexible, relaxed form of education by reducing the amount included in the curriculum. However, the effects of this reform have been ambiguous, and we therefore aimed to assess them more accurately. We assessed the effects of the reform by looking at the private educational costs of households during the reform period, using the data from a time series survey conducted by the Japanese government. Our evidence shows that the auxiliary study expenses of children in public junior high schools increased steadily, and the proportion of children from households in the highest income group attending private junior high schools also rose during the reform period. This evidence indicates that the reform had unexpected results. It may have triggered a widening of children’s academic ability gap depending on household wealth. There is also no comprehensive evaluation of how pressure-free education affected the academic results of Japanese children. We drew some lessons from this experience to suggest what is needed for successful educational reform.

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)0.001
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 score0.662
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 communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.353
Teacher spread0.324 · 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