Exploring Rhetorical History from Non-Western Perspectives
Bibliographic record
Abstract
The ‘historic turn’ in management studies has led to a greater appreciation of historical approaches and their potential contribution. Despite this significance, existing studies on rhetorical history have predominantly focused on Western contexts, resources, and nuances in understanding and engaging with rhetorical history. This panel symposium seeks to address the urgent need of advancing the limited scholarship on non-Western perspectives of rhetorical history. Specifically, we bring forward insights from indigenous communities and Global South experiences to illustrate how rhetorical history can be both binding and blinding. Within this context, claims, contest, and negotiations over ‘who gets to tell rhetorical history’ emerge, entangled with complex gender and power dynamics, which will also be discussed. More broadly, this symposium aims to catalyze future research that bridges theoretical divides and empirical insights, partaking in the nascent yet rapidly increasing calls in management studies to truly integrate non-Western contexts, understanding, and perspectives into management as a global phenomenon.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.028 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".