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Record W2155147425 · doi:10.1287/mnsc.1100.1206

Deal or No Deal: Hormones and the Mergers and Acquisitions Game

2010· article· en· W2155147425 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueManagement Science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDominance (genetics)Testosterone (patch)Ultimatum gameMergers and acquisitionsOutcome (game theory)PsychologyHormoneSocial psychologyBusinessEconomicsMicroeconomicsBiologyEndocrinologyFinance

Abstract

fetched live from OpenAlex

Young male CEOs appear to be combative: they are 4% more likely to be acquisitive and, having initiated an acquisition, they are over 20% more likely to withdraw an offer. Furthermore, a young target male CEO is 2% more likely to force a bidder to resort to a tender offer. We argue that this combative nature is a result of testosterone levels that are higher in young males. Testosterone, a hormone associated with male dominance seeking, has been shown to influence prospects for a cooperative outcome of the ultimatum game. Specifically, high-testosterone responders tend to reject low offers even though this is against their interest. It has been argued that this is consistent with a low offer being seen as dominance seeking. The acts of attempting or resisting an acquisition can be viewed as striving to achieve dominance. We argue that the evidence reported in this paper is consistent with the presence of a significant hormone effect in mergers and acquisitions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.321
Teacher spread0.301 · 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