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
Since Stinchcombe’s (1965) seminal paper half a century ago, imprinting has become an influential concept across a range of fields in organizational research, from institutional theory to organizational ecology to network analysis. This symposium brings together a diverse set of papers that help define new directions for imprinting research. Two of the papers revisit and challenge traditional assumptions implicit in many imprinting studies: the assumption that organizations founded under the same conditions will necessarily adopt similar initial structures, and the assumption that radical environmental and organizational changes will wipe out dormant imprints. The other two papers apply an imprinting lens to phenomena that were previously beyond the scope of this literature, explaining the present-day organizational ideologies of corporations and the intertwined nature of organizational fortunes and individual performance. As a set, the papers offer new insights into the mechanisms of imprinting in organizations. Failing to Imprint: The Effects of Adopting Unusual Job Structures at Startup Presenter: Lisa Ellen Cohen; McGill U. Presenter: Heather Haveman; U. of California, Berkeley The Imprinting Effects of Founding Conditions on Organizational Ideology Presenter: Abhinav Gupta; Pennsylvania State U. Presenter: Forrest Briscoe; Pennsylvania State U. Remembrance of Things Past: Linking Organizational Fortunes and Individual Performance Presenter: András Tilcsik; U. of Toronto Once Learned – Not Forgotten: Institutional Imprint Persistence in Transition Economies Presenter: Aldas Pranas Kriauciunas; Purdue U. Presenter: George A. Shinkle; U. of New South Wales
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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