The role of geographic distance in completing related acquisitions: Evidence from <scp>U.S</scp> . chemical manufacturers
Why this work is in the frame
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Bibliographic record
Abstract
Acquisitions often do not reach completion when buyers' initial evaluations change during post‐announcement due diligence investigations, but research offers only limited explanations for when such deal‐cancelling new information will be most common. Drawing from the spatial geography and acquisition strategy literatures, we argue that successful completion of acquisitions can be partially explained by their spatial characteristics. We start by predicting that geographic distance has a particularly strong impact in reducing the likelihood of completing related acquisitions; we then identify contingencies based on multiple forms of direct, contextual, and vicarious experience that can help acquirers overcome the constraints of distance. We test the arguments with a sample of 1,603 domestic acquisitions announced by 724 U.S . chemical manufacturing firms between 1980 and 2004. Copyright © 2015 John Wiley & Sons, Ltd.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it