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Record W1509600833 · doi:10.7202/703627ar

Gestion de la décroissance et reproduction institutionnelle à I'ONUDI

2005· article· en· W1509600833 on OpenAlexaffvenue
Daniel A. Holly

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsNoticeProcess (computing)Political scienceReproductionAction (physics)LawEcology

Abstract

fetched live from OpenAlex

This article explores the relationship between environmental changes and the reform process at the United Nations Industrial Development Organization (UNIDO). The basic question it seeks to answer is : how does an organization self-produce in conditions of intense environmental change ? International organizations, while carrying out their mission, are constantly called upon to take notice of changes in their environment and to make accordingly whatever adjustment is required. This adaptive process serves two main purposes : first, to facilitate the pursuit and attainment of the objectives of the organization and, second, to help the organization self-produce, for international organizations like any other social System self-produce through the action it exercises on it self. The reform process undertaken at UNIDO beginning in the late 80s clearly bears out that contention. It sheds light on the conditions and difficulties that surround the undergoing reform process at the United nations.

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)0.006
metaresearch head score (Gemma)0.009
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.015
Scholarly communication0.0120.004
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.025
GPT teacher head0.280
Teacher spread0.255 · 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

Citations0
Published2005
Admission routes2
Has abstractyes

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