MétaCan
Menu
Back to cohort
Record W2890866403 · doi:10.1080/13691066.2018.1516358

Private equity investment in family firms: the role of stake size and deal syndication

2018· article· en· W2890866403 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueVenture Capital · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsConcordia University
Fundersnot available
KeywordsWeb syndicationPrivate equityPrivate equity firmBusinessEntrepreneurshipInvestment (military)Equity (law)Club dealVenture capitalPrivate equity fundFinance

Abstract

fetched live from OpenAlex

Private equity (PE) firms are increasingly investing in family firms, as these organizations look to grow and deal with ownership succession. In this study we contribute to the developing entrepreneurship literature on PE investment by addressing the heterogeneity of PE firms. We distinguish between private independent and captive PE firms to understand whether different types of PE firms select different (i.e. family vs. non-family) firms as their target. We also look at whether the relationship between the type of PE firm and likelihood of investing in a family firm (vs. a non-family firm) is moderated by two factors, which are related to risk reduction in PE deals, namely size of equity stake and deal syndication. Our analysis of all 902 PE deals that took place in Canada between 2009 and 2014 indicates that family firms are not the preferred investment choice for private independent PE firms, although taking a minority stake positively moderates this relationship.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.293

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.230
Teacher spread0.217 · 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