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.
Bibliographic record
Abstract
How should an incumbent respond to the arrival of an entrant? A long-standing literature documents a host of potential responses, but little work explores when each strategy will be more or less effective. This paper develops a model of incumbent-entrant competition between vertically and horizontally differentiated firms and applies that model to understand the incentives that shape an incumbent’s response to entry and ultimately, long-run profits. Analysis reveals the conditions under which an incumbent facing the full strategy space of possible exogenous entrants has incentive to attack an entrant and conditions where the incumbent has incentive to retreat. By viewing the incumbent and entrant in terms of their level of vertical and horizontal differentiation, this paper offers a unified view of prior work that generates insights about incumbent responses to entry that have been underappreciated. Further, this unified view offers insight on the effectiveness of a particular incumbent response. Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2022.0060 .
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 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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
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