Organizing and Strategizing in the Face of War
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
Wars is a persistent and recurring feature of human history. Despite the profound and multifaceted consequences of war for organizations and the growing call for management scholars to address key societal challenges, the management literature has historically paid limited attention to this critical phenomenon. This symposium seeks to address this significant gap by bringing together organizational and management scholars to explore the multifaceted relationship between war and organizations. Temporal Reframing: How Professionals Cope With Trauma and Loss of Agency Author: Madeleine Rauch; University of Cambridge Author: Shahzad Ansari; University of Cambridge How Israeli and Palestinian IT Professionals Work Together in the Context of Ethnonational Conflict Author: Pieter de Wit; - Author: Christopher Wickert; Vrije Universiteit Amsterdam Propagating a Permanent War Economy? U.S. FDI in Warring Host Countries Author: Li Dai; Loyola Marymount University Author: Yongsun Paik; Loyola Marymount University Firm R&D Choices and Bureaucratic Science, Technology, and Innovation Activity Amidst Military Coups Author: Natharat Mongkolsinh; - Author: Adam Koling; University of Oxford Author: Daniel Erian Armanios; University of Oxford Strategizing for Tomorrow’s Wars Today: Future-Making in the Military Author: Lorenzo Skade; European University Viadrina Frankfurt (Oder) Author: Sarah Stanske; Author: Jochen Koch;
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 | 0.001 |
| 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