MétaCan
Menu
Back to cohort
Record W2903195859 · doi:10.1504/ijpp.2018.10017937

Improving international policy-making in the absence of treaty regimes: the international forestry, migration and water policy cases

2018· article· en· W2903195859 on OpenAlex
Michael Howlett, Richa Shivakoti

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Public Policy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTreatyCorporate governanceWork (physics)International regimeFragmentation (computing)Global governancePolitical scienceEconomicsBusinessEconomic systemEcologyLaw

Abstract

fetched live from OpenAlex

Distinguishing between international regime features and national implementation problems affecting policy effectiveness in many areas of international policy-making is an area of increasing concern to practitioners and academics alike. While many observers have traced problems with existing global governance architectures to deal with contemporary problems to the lack of appropriate treaties at the international level, recent work on regime fragmentation and the interplay between regimes suggests that a lack of a central and integrated international regime may be overcome through improved multi-level governance efforts. Much can be learned in this area from sectoral experiences in areas such as water and forestry as well as non-resource areas such as migration where such strong regimes have failed to develop.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.033
GPT teacher head0.350
Teacher spread0.317 · 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