Contested Terrain: Bridging Theory and Practice to Advance Cultivated Meat
Bibliographic record
Abstract
This symposium explores the rapidly evolving field of cultivated meat, a transformative but contentious technology at the intersection of food production, sustainability, and cultural identity. From its historic debut in 2013 to recent breakthroughs in cost reduction, regulatory approval, and scaling toward commercialization, cultivated meat promises to revolutionize food systems by enhancing food security, reducing environmental impacts, and eliminating animal cruelty. However, its emergence has sparked significant backlash from traditional agricultural stakeholders, cultural conservatives, and policymakers, underscoring the complex interplay of legitimacy, authenticity, and societal values. Bringing together an interdisciplinary panel of scholars, industry leaders, and advocates, this symposium examines the theoretical and practical challenges cultivated meat poses to entrepreneurship, organization theory, and strategic management. Presentations address key issues, including category formation, the cultural clash over legitimacy and authenticity, supply chain bottlenecks, and the tensions inherent in oppositional market categories. These discussions are complemented by a practitioner panel and collaborative dialogue, aimed at bridging academic insights with actionable strategies to advance the development of cultivated meat as a viable and transformative industry. By engaging with foundational questions about cognitive categorization, innovation ecosystems, and the role of social-symbolic dynamics in legitimating novel technologies, this symposium offers a rich platform for exploring the broader implications of cultivated meat. It invites Organization and Management Theory, Entrepreneurship, and Strategic Management scholars to consider new frameworks and approaches for navigating the challenges of industry emergence in a contested cultural and regulatory landscape. What’s in a Name? Interpretive Fluidity and Stability in the Emergent Cultivated Meat Category Author: Magdalena Winkler; Vienna University of Economics and Business Author: Mia Raynard; The University of British Columbia Cultivated Meat Culture Clash: Legitimacy, Authenticity, and the Laws of Nature Author: Roy Suddaby; University of Victoria Author: Joel Baum; University of Toronto Author: Luke Fiske; Rotterdam School of Management Delivering Cellular Agriculture: A Case Study of the UK Cultivated Meat Supply Chain Author: Onyeka John Chukwuka; University of Bristol Author: Mehdi Montakhabi; University of Oxford Author: Brian Squire; University of Bristol Author: Jianhong (Sandy) Sun; University of Bath Fighting for Meaning: Label Contestation and Temporal Imaginaries in the Cultivated Meat Category Author: Annelore Huyghe;
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".