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Record W4392744540 · doi:10.59876/a-8h2x-ea14

Les pays du sud à l'épreuve des normes ISO : vers un sous-développement durable?

2008· article· en· W4392744540 on OpenAlexvenueno aff
Olivier BOIRAL

Bibliographic record

VenueManagement international · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyCertificationSustainable developmentSustainabilityImpervious surfacePolitical scienceWelfare economicsBusinessEconomicsLawPolitics

Abstract

fetched live from OpenAlex

The exponential growth of the amount of ISO management systems and the upcoming launch of a new standard on corporate social responsiveness represent opportunities for organizations to promote their social legitimacy and to implement the main concepts of sustainable development through internationally recognized systems. Thus, ISO management systems now cover the main facets of this concept, which proposes to find, at an international level, a balance between economic, environmental, and social issues. Nevertheless, the generalization of these standards and their possible use for promoting sustainability call for major questioning, especially for southern countries. Indeed, by their cultural and economic specificities, organizations from these countries remain a priori relatively impervious to the formalist proposals of ISO management systems. This imperviousness is reflected in the international distribution of the amount of certified organizations, which shows a clear gap between northern and southern countries. This paper proposes to analyze the stakes of the generalization of these standards by showing their pertinence and their limits to promote the concept of sustainable development, especially in southern countries.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.264
Teacher spread0.224 · 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 designObservational
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

Citations8
Published2008
Admission routes1
Has abstractyes

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