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Record W4406884415 · doi:10.5117/9789048567324_ch12

Japan's Policy on Stratospheric Ozone Depletion

2025· book-chapter· en· W4406884415 on OpenAlexaboutno aff
Kubo Haruka

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
Fundersnot available
KeywordsOzone depletionEnvironmental scienceOzone layerOzoneAtmospheric sciencesMeteorologyPolitical scienceGeographyGeology

Abstract

fetched live from OpenAlex

The Ozone Layer Protection Policy, which has been called a successful environmental policy, was the first global environmental issue to be addressed in earnest in Japan. How can Japan’s ozone layer protection policy be understood? This chapter first describes the characteristics of Japan’s ozone protection policy in terms of the distribution of authority among the ministries that designed it; coordination between the EA/MOE and the MITI/METI is a major point of contention. The second point is how the implementation of the Montreal Protocol was ensured. The compliance of the Protocol was ensured by the MITI/METI network with industry. However, this network is unlikely to develop into efforts that go beyond the fulfillment of obligations. On the other hand, Japan’s own initiative to reduce emissions of fluorocarbons was promoted by the EA/MOE and other actors such as environmental NGOs and local government. The Fluorocarbon Emission Control Act began as a legal system for protecting the ozone layer and added HFCs to the controlled substances, eventually becoming a highly effective policy among climate change measures .

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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