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Record W7030506587

Multiregulation in Developing Countries

2000· article· en· W7030506587 on OpenAlexaboutno aff

Bibliographic record

VenueToulouse Capitole Publications (University Toulouse 1 Capitole) · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
FundersStrong
KeywordsRegulatorScope (computer science)State (computer science)Developing countryRegulatory reformRegulatory authorityGovernment regulation
DOInot available

Abstract

fetched live from OpenAlex

The question of multiregulation in developing countries has many dimensions. We investigate in this paper the lessons that can be derived from the Theory of Organizations, as well as from the past and present experience of a number of countries. The main issues considered decentralization, sectorial specialization, and functional specialization. For instance, should we have in federal states a federal regulation or should we decentralize regulation in each state? should we recommend a federal regulation of telecommunications in Brazil or a two-tier system of state and federation regulation as in the USA or the European Union? Or, for the regulation of electricity, should we recommend a regulation at the level of Sub-Sahara West Africa rather than national regulations? Second, what is the desirable industrial scope of a regulator, or how many industries should a regulator supervise? Should we have one regulator per industry or a regulator for all industries as in Panama, Jamaica, Costa Rica or at the state level in USA, Canada, Australia and Brazil? Should the optimal design evolve over time as the recent integration of gas and electricity regulations in the U.K. might suggest? Third, regulation has several functional dimensions, including regulation of prices, quality, environmental effects,etc.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.247
Teacher spread0.233 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2000
Admission routes1
Has abstractyes

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