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Record W2889728567

Activisme actionnariat - La guerre de procurations entre Agrium Inc. et Jana Partners LLC

2018· preprint· fr· W2889728567 on OpenAlexaffabout
Sylvie Berthelot, Kirsten Burkhardt, Stéfanie Duhamel

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2018
Typepreprint
Languagefr
FieldBusiness, Management and Accounting
TopicBusiness Strategy and Innovation
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Ce cas a pour objectif d'illustrer l'activisme actionnarial exercé par un fonds spéculatif. Il est centré sur la guerre de procurations entre Agrium Inc., une société canadienne cotée qui produit des engrais, notamment de la potasse, et Jana Partners LLC, un fonds d'investissement spéculatif. Jana Partners LLC avait pour objectif d'accroître la performance financière et la valeur d'Agrium Inc. Pour ce faire, il a acquis plus de 5 % du capital-actions et il vise à faire élire cinq administrateurs de son choix au sein du conseil d'administration d'Agrium Inc. en vue d'influencer les décisions prises par celui-ci. Il est rare qu'une telle guerre de procurations prenne place auprès de sociétés canadiennes cotées. Le cas dresse le portrait de cette bataille en étendant les analyses aux principales pratiques de gouvernance d'Agrium Inc. Il vise à illustrer les raisons qui peuvent mener les intervenants à se livrer une guerre de procurations, les modalités via lesquelles le potentiel repreneur agit, ainsi que les moyens de défense dont dispose l'entreprise sujette à une telle guerre. Enfin, il permet d'en analyser les conséquences en matière de gouvernance.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.255
Teacher spread0.231 · 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 designTheoretical or conceptual
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
Published2018
Admission routes2
Has abstractyes

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