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Record W3122190972

Business Angels' Perspectives on Exit by Ipo

2014· preprint· en· W3122190972 on OpenAlexaboutno aff
Cécile Carpentier, Jean‐Marc Suret

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2014
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsnot available
Fundersnot available
KeywordsInitial public offeringLiberian dollarPolitical scienceBusinessEconomicsHumanitiesFinanceArt
DOInot available

Abstract

fetched live from OpenAlex

Nous analysons les perspectives selon lesquelles des anges membres d'un groupe structurés d'anges canadiens envisagent la disposition de leurs placements. Ces anges investissent des montants de l'ordre de 1,2 millions de dollar dans des entreprises technologiques et l'émission initiale est, de ce fait, une option de sortie envisageable. Toutefois, les anges énoncent une préférence marquée pour la cession en bloc de leurs actions à des acquéreurs stratégiques. Cette préférence est cohérente avec l'hypothèse des économies d'échelles : pour les entreprises innovantes, il est essentiel d'acquérir rapidement une taille suffisante à l'exploitation rapide des innovations, et l'acquisition par un joueur important du domaine est un moyen plus efficace d'acquérir cette taille que l'émission initiale. Toutefois, la réglementation des valeurs mobilières est également perçue comme un obstacle majeur aux émissions initiales

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.213
Teacher spread0.200 · 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
Published2014
Admission routes1
Has abstractyes

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