Alternate Prisms for Pluralism and Paradox in Organizations
Bibliographic record
Abstract
The literature on paradoxes and pluralism has grown over the last decade. Although both concepts refer to multiplicity in or around organizations, they have been explored in parallel and have rarely been juxtaposed. The aim of this chapter is to discuss the possible interrelations between these concepts and their implications for the study of paradox within organizations. The chapter further seeks to contrast current notions of paradox and pluralism, and expand understanding of these phenomena by looking at them through two alternate theoretical prisms, namely Critical Management Studies (CMS) and complexity theory. In so doing, new lines of inquiry are opened up around paradoxical situations in pluralistic organizations. These alternate prisms invite further exploration into the interface between paradoxes and pluralism, and highlight the potential of performativity without instrumentality to guide strategies for balancing and benefiting from these important dimensions of contemporary organizations.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.043 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".