Book Review: Food, Climate, and Man: Food, Climate, and Man, Edited by BiswasMargaret R. & BiswasAsit K.. (Foreword by Mostafa Kamal Tolba.) John Wiley & Sons, New York-Chichester-Brisbane-Toronto: xxiii + 285 pp., figs & tables, 23.5 Ã 16 Ã 2.1 cm, [no price indicated], 1979. --- Either ISSN or Journal title must be supplied
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
Classical ecologists, perhaps, find it difficult to include disaster among their areas of preoccupation.Maybe this is because natural disasters are treated as God-given facts, or because they are considered beyond the scope of traditional disciplines.Increasingly, however, we are confronted with the potential threat of ecodisasters (see, for example, the International Conferences on Environmental Future held in Finland in 1971 and Iceland in 1977).Increasingly, also, it is realized that natural disasters such as floods can often be triggered by human activities which disturb the ecosystem (for example, the recent major floods in India, which have cost so much in human lives), and finally, perhaps, there is increasing awareness that environmental impact and ecological disturbance can occur as much, or even more, from rare events of great magnitude than from the daily 'insult' of Man-made activities.It is therefore particularly instructive that the MIT Press Environmental Studies Series should have published this book which details the disasters of floods and earthquakes that have struck Rapid City and San Francisco in the conterminous United States, Anchorage in Alaska, and Managua in Nicaragua.The analysis of the impact of such disasters, and the reconstruction and rehabilitation efforts, have many lessons for the management and abatement of environmental impacts of less spectacular origin.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.001 |
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