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Record W2076334666 · doi:10.1162/glep.2006.6.1.23

Does Bureaucracy Really Matter? The Authority of Intergovernmental Treaty Secretariats in Global Environmental Politics

2006· article· en· W2076334666 on OpenAlexaffabout
Steffen Bauer

Bibliographic record

VenueGlobal Environmental Politics · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsBureaucracyScrutinyTreatyPublic administrationPoliticsConventionPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Although a number of scholars acknowledge the relevance of intergovernmental bureaucracies in world politics, International Relations research still lacks theoretical distinction and empirical scrutiny in understanding their influence in the international arena. In this article I explore the role of intergovernmental treaty secretariats as authoritative bureaucratic actors in global environmental politics. I employ organizational theories and sociological institutionalism for comparative qualitative case study research that traces variances at the outcome level of two environmental treaty secretariats, the secretariats to the Vienna Convention and the Montreal Protocol (“Ozone Secretariat”) and the UN Convention to Combat Desertification (“Desertification Secretariat”). While the organizational design of both secretariats is similar, their institutional histories and outcomes differ markedly. Looking for possible explanations for these differences I focus on the activities of both secretariats and how they relate to the authority they enjoy vis-à-vis the parties they serve.

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)0.011
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.022
Scholarly communication0.0080.007
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.004
GPT teacher head0.241
Teacher spread0.237 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations122
Published2006
Admission routes2
Has abstractyes

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