The Personality of Environmental Prediction: Griffith Taylor as 'Latter-day Prophet'
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
Environmental prediction is a practice that may establish and enhance the status of predictors but it also carries risks that vary in relation to the professional and political contexts of its communication. Exploring the lives of scientists involved in the difficult task of environmental prediction highlights the significance of personal identities in the cultural history of science. Geographer Griffith Taylor (1880–1963), whose raison d'être was environmental prediction, is an ideal subject to examine from this perspective. Facing opposition to his early predictions of Australia's limited settlement prospects, owing to the continent's aridity, he used intemperate language to deliver sober warnings and sparred with naysayers and doubters in the popular media. By the 1920s he saw himself as a ‘latter-day prophet', and he carried that sense of self forward when he moved to North America in 1928. Yet in Canada his environmental predictions, although favourable, were considered overly optimistic and often disregarded altogether. This prophet realized that he was happier being attacked than ignored. Taylor's career suggests that positive prognostication, when dismissed, offers less personal compensation than cautionary prophesies that face opposition in hostile political or intellectual contexts.
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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 | 0.001 | 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 | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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