Re-examining the Travel of Ideas: Of Editing, Generativity & Temporality
Bibliographic record
Abstract
Management research has demonstrated a striking interest in diffusion research over the past decades. Our conceptual understanding of how diffusion happens has been greatly altered from deterministic to probabilistic models as well as from realist to phenomenological perspectives by drawing on an eclectic theoretical toolkit. It is time to revisit these theoretical advancements vis-à-vis contemporary socio-political and economic developments and charter new territory. This symposium brings together a range of perspectives from scholars studying diffusion across a variety of seemingly unconventional contexts (including the transformation of yoga into a market, the importation of technology entrepreneurship ideals into Kenya, the establishment of active ownership in Switzerland after an earlier failure at importing the idea and the semiotic negotiations of transparency in the Extractive Industries Transparency Initiative). Taken together, these papers wrestle with the dynamic nature of diffusion processes and shed new light on the role that editing, generativity and temporality play when ideas, concepts and innovations “get from here to there.” From Patañjali to the Gospel of Sweat: Yogas Transformation into a Multi-Billion Dollar Market Presenter: Kamal A Munir; U. of Cambridge Presenter: Shahzad Ansari; Cambridge U. Presenter: Deborah Brown; U. of Cambridge Globalization in Action: Templates and Strategies of Action in Kenyan ICT Entrepreneurship Presenter: Tim Weiss; Stanford U. Presenter: Klaus Weber; Northwestern U. Legacy Effects of Social Movements: Activists in Abeyance and the Diffusion of Active Ownership Presenter: Daniel Waeger; Wilfrid Laurier U. Presenter: Sébastien Mena; Cass Business School, City, U. of London Negotiating and Editing Transparency in a Multi-Stakeholder Initiative Presenter: Lisa Baudot; U. of Central Florida Presenter: Joel Bothello; John Molson School of Business, Concordia U. Presenter: David Cooper; U. of Alberta
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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 | 0.022 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.011 | 0.071 |
| Scholarly communication | 0.025 | 0.041 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".