Performance Implications of Using Signaling and Screening for Expanding Interfirm Business Networks: Evidence from Franchising
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
43 p. ; Includes bibliographical references (pp. 33-38) ; Authors "thank three anonymous reviewers, Josef Windsperger, William Allender, Kersi Antia, Charles Ingene, Robert Palmatier, Sourav Ray and Ruhai Wu for their constructive comments on previous versions of this paper. This paper has benefited from feedback received during presentations at the 2018 EMNet conference, the 2017 ISOF conference, the 2017 ETSymposium on Marketing Strategy, the ASAC 2017 conference, the 2018 Winter AMA conference, and research seminars at McMaster University, Indian Institute of Management (Bangalore) and Indian Institute of Management (Ahmedabad). This research is supportedby funding from the Social Sciences and Humanities Research Council of Canada. Funding for this research was provided by the Institute for the Study of Business Markets of the Pennsylvania State University."
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 | 0.000 | 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 | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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