Structural Power and Epistemologies in the Scientific Field: Why a Rapid Reconciliation Between Functional and Evolutionary Biology is Unlikely
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
The past decade has been marked by a series of global crises, presenting an opportunity to reevaluate the relationship between science and politics. The biological sciences are instrumental in understanding natural phenomena and informing policy decisions. However, scholars argue that current scientific expertise often fails to account for entire populations and long-term impacts, hindering efforts to address issues such as biodiversity loss, global warming, and pandemics. This article explores the structural challenges of integrating an evolutionary perspective, historically opposed to functional determinants of health and disease, into current biological science practices. Using data on Swiss biology professors from 1957, 1980, and 2000, we examine the structural power dynamics that have led to the division between these competing epistemologies, and how this division has influenced resource allocation and career trajectories. Our analysis suggests that this cleavage presents a significant obstacle to achieving fruitful reconciliations, and that increased academicization and internationalization may benefit functional biologists at the expense of evolutionary biologists. While evolutionary biologists have gained symbolic recognition in recent years, this has not translated into valuable expertise in the political domain.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 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