Strategy Can No Longer Ignore Planetary Boundaries: A Call for Tackling Strategy's Ecological Fallacy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The field of Strategy has its origins in Business Policy, which emphasized how firms could pursue important social aims that individuals and governments could not pursue otherwise. This emphasis shifted in the 1970s as the field turned towards economics for insights. Strategy scholars began to address how market‐ and industry‐level considerations, such as performance, price, and competition, were pursued by firms. By applying macro‐level principles and assumptions analogically to a more micro‐level of analysis, strategy scholars inadvertently committed what statisticians call an ecological fallacy. Educators and scholars in the field of Strategy started to accept the constructive consequences of growth, not only for the economy, but for every firm, without considering the implications for society and the natural environment. In so doing, Strategy scholarship inadvertently undermined its very ambition to advance social aims. Our Point advocates for reconsideration of the field's foundations so as to remediate the ecological fallacy and to address the climate and biodiversity crises. The goal is to offer a brighter and more relevant future for our discipline.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it