Managing the Paradoxes of Place to Foster Regeneration
Bibliographic record
Abstract
Organizations face and contribute to mounting social problems and environmental degradation. Regenerative organizations seek to reverse this damage, emphasizing how to help local places flourish. Drawing on a six-year inductive study of one such regenerative organization, we derive an empirically grounded model which argues that regeneration depends on effectively managing place-based tensions paradoxically. Shorefast built social enterprises aimed at redeveloping the cultural and economic resilience of Fogo Island, Canada, a community devastated by the collapse of the North Atlantic cod fishery. They triggered place-based tensions and managed them paradoxically by creating conditions for meaningful exchange and by taking a patient approach. Together, these efforts facilitated both the discovery of place-based opportunities and the regeneration of place. Our model challenges organizational researchers studying place to move beyond considering place-based tensions as conflicts and, instead, to study their paradoxical nature and management. To paradox research, we contribute insight into paradoxes of place.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".