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A Critical Review of the Successful CFC Phaseout versus the Delayed MeBr Phaseout in the Montreal Protocol

2013· review· en· W2480917516 on OpenAlexaboutno aff
Brian J. Gareau

Bibliographic record

VenueYale University Press eBooks · 2013
Typereview
Languageen
FieldEnvironmental Science
TopicInternational Environmental Law and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal ProtocolPolitical scienceInternational tradeEconomicsGeographyOzone layerMeteorology

Abstract

fetched live from OpenAlex

This chapter provides a critical review of the CFC phaseout versus the MeBr phaseout in the Montreal Protocol. It examines the success of the CFC phaseout and the significant delays and problems with the MeBr phasehout. It suggests that the different outcomes of the CFC and MeBr cases are strongly linked to the economic viability of alternatives to maintaining production within the United States in both cases; the economic opportunity for chemical producers; and changes in global attitudes toward environmentalism. It shows how the United States—under much less pressure from civil society (including the chemical industry) to phase out MeBr than it had faced with CFCs and much more pressure from agro-industry to keep MeBr—successfully stalled its elimination well beyond the scheduled phaseout date of 2005.

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)0.044
metaresearch head score (Gemma)0.104
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.080
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.104
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0020.004
Scholarly communication0.0040.003
Open science0.0040.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.312
Teacher spread0.268 · 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
GenreReview

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
Published2013
Admission routes1
Has abstractyes

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