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Record W3024667333 · doi:10.7202/1064024ar

Dette souveraine. Lecture de "Orange : le déchirement" de Bruno Diehl et Gérard Doublet (Gallimard 2010)

2010· article· fr· W3024667333 on OpenAlexvenueno aff
Gérard Wormser

Bibliographic record

VenueSens public · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtOrange (colour)Political sciencePhilosophyPhysics

Abstract

fetched live from OpenAlex

Bruno Diehl et Gérard Doublet portent un regard d'experts sur le management de France Télécom et sur les transformations de l'entreprise sous les directions successives de Michel Bon, Thierry Breton et Didier Lombard. Ils montrent comment un excès d'endettement constitué au beau milieu de l'euphorie boursière de l'an 2000 a réduit la stratégie à une gestion financière doublée d'investissements techniques. L'objectif de faire partir des milliers de collaborateurs fut mis en œuvre au détriment d'une politique managériale digne de ce nom. Après plusieurs années de souffrance du personnel, Stéphane Richard doit restaurer la confiance.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.310
Teacher spread0.273 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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