Symbolic Convergence or Divergence? Making Sense of (the Rhetorical) Senses of a University-Wide Organizational Change
Bibliographic record
Abstract
This research investigates the extent to which organizational change initiatives may lead to divergent patterns of sensemaking among organizational members. Drawing on the symbolic convergence theory, we performed an in-depth fantasy theme analysis of organization members' rhetoric around an organizational change at a private university. Our analysis uncovers six fantasy themes and two corresponding fantasy types, which lead to no rhetorical vision. The lack of cognitive convergence between change initiators and change recipients suggests the inherent incompatibility between managerial and employee fantasies around organizational change, barring the exceptions of dual-responsibility change recipients (e.g., faculty members who also assume administrative responsibilities), who tend to adopt the change initiator rhetoric. Overall, this study informs our extant knowledge of change sensemaking with novel theoretical and methodological insights and bears implications for organizational change researchers and practitioners alike.
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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 | 0.018 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".