In praise of holistic scholarship: A collective essay in memory of Mark Easterby-Smith
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
This collective essay was born out of a desire to honor and remember Professor Mark Easterby-Smith, a founder of the Management Learning community. To do this, we invited community members to share their experiences of working with Mark. The resulting narratives remember Mark as a co-author, co-researcher, project manager, conference organizer, research leader, PhD supervisor, and much more. The memories cover many different aspects of Mark’s academic spectrum: from evaluation to research methods to cross-cultural management, to dynamic capabilities, naming but a few. This space for remembrance however developed into a space of reflection and conceptualization. Inspired by the range and extent of Mark’s interests, skills, experiences, and personal qualities, this essay became conceptual as well as personal as we turned the spotlight on academic careers and consider alternative paths for Management Learning scholarship today. Using the collective representations of Mark’s career as a starting point, we develop, the concept of holistic scholarship, which embraces certain attitudes and orientations in navigating the dialectical spaces and transcending tensions in academic life. We reflect on how such holistic scholarship can be practised in our contemporary and challenging times and what inspiration and lessons we can draw from Mark’s legacy.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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