Bibliographic record
Abstract
This essay broadens the conversation on the state of organizational contradictions and paradox research by turning to dialectics—a time-honored, living perspective on social processes and relations, which continues to influence our understanding of the past, present, and future. Dialectics distinctive relational process worldview sets it apart from approaches stressing equilibrium, linearity, and coherence, making it highly relevant to a world in flux. I propose that dialectics is already present in strategy research and in contemporary business, and can become even more central to strategy, addressing core questions in the field and propelling it in new directions. Strategy scholars can draw on dialectics principles as a generative tool kit to construct new theories and managerial tools. Dialectics can also be used as a theoretical lens to understand emerging empirical phenomena such as the rapid advent of artificial intelligence. Finally, dialectics critical stance and philosophical grounding makes it a particularly attractive perspective for challenging existing theoretical models and for considering alternatives.
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.
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 | 0.018 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.007 | 0.081 |
| Scholarly communication | 0.021 | 0.043 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".