Bibliographic record
Abstract
Abstract On January, 27, 2017, U.S. President Donald J. Trump issued Executive Order 13769 on immigration and travel (EO 13769), which restricted entry into the U.S. of the citizens of seven primarily Muslim countries. Many academics reacted with outrage, including me and other members of the Academy of Management (AOM), of which I was President at the time. Some scholarly associations condemned EO 13769 as immoral, but the AOM did not immediately issue such a condemnation because the AOM’s Constitution included a policy of no-political-stands (NPSP) and a principle that nobody, including the AOM President, could represent personal views as those of the organization. Within a few weeks, the AOM Constitution was changed, and in October, 2017, the AOM joined other associations in issuing a condemnation. An article was published in this journal on this situation (Tsoukas in J Bus Ethics, https://doi.org/10.1007/s10551-018-3979-y , 2018) that was subsequently amended through a published Correction (Tsoukas in J Bus Ethics, https://doi.org/10.1007/s10551-019-04194-9 , 2019), but the Correction only partially addressed the problems in the original. The main contribution of this commentary is to take up the invitation in Tsoukas (2018) to examine the case for insights on theoretical and conceptual questions raised in the literature on prototypicality and moral imagination. It also briefly outlines the most significant omitted errors of fact in Tsoukas (2018) that were not corrected in Tsoukas (2019), and describes the most important methodological problems in Tsoukas (2018). The conclusion suggests that the complex, nuanced, and evolving interactions that unfolded at the AOM are not fully addressed theoretically or conceptually in this literature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.077 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".