Bibliographic record
Abstract
abatement costs 162, 165-8, 172, 173, 211 abatement technology 166, 167 Abdalla, C.W. 312 ability to pay 370, 375, 376 abstraction fees 65 accelerated dissolution 294 accounting prices, see shadow prices accounting stance 30-31, 36-7 achievability, measures of 236 Ackerman, F. 229, 238 acreage payments 132 activated sludge systems 177 adverse selection 78 Aegean Sea 179 aesthetic benefits 16, 18, 124, 212, 273; see also landscape amenities Africa, subsidies to water in 3 Aggelakis, A.N. 177 aggregate efficiency 320 agricultural drainage 75, 132, 181 agricultural emissions 162-3, 165, 181, 191, 197, 202, 207, 253, 255, 256, 258, 285, 355 agricultural firms, technical efficiency of 333-4 agricultural irrigation water, see irrigation water agricultural land benefit-cost ratios for protection of 89 change in use of 131-5, 137 cost of production loss on 113 emissions from, see agricultural emissions landscape amenities on 113 redistribution of 135, 146 see also grazing land; irrigation water agricultural production function 329-30, 348, 350 air pollution 230, 232 Alberta 197, 199, 207, 263, 268 Alicante 60, 67 allocation of water among sectors, see intersectoral water allocation; watershed management Alsace 293, 308 altruism 189 American Office of Management and Budget (OMB) 146, 229, 242, 243, 310 Amsterdam Treaty 152 Anagnostopoulos, K.P. 192 Andalucia, optimizing the economic value of irrigation water in 351 Anderson, E. 20 Anderson, F. 8 Anderson, R. 60, 62, 66 Anglian Water 275, 280 angling, see fishing animals, pollution from 253, 254, 256, 257, 258, 259 Apogee Research International 205 approved process approach 20-21 AQUATOX model 242 aquaculture, see fish farms aquifers 58, 316, 324, 325, 332-5, 345, 364, 365; see also Rhine valley aquifer, CBA of remediation of arable land, rent from 133, 134 Areas of Concern 195, 203, 204, 205, 207, 218 Århus 141 Arrojo Agudo, P. 346, 348 Arrow, K.J. 48, 227, 240, 273, 366 Asia, subsidies to water in 3 Asian Development Bank (ADB) 362 assets at risk from flooding 86, 89 assimilative capacity 18, 315 Association for Environment and Nature in Alsace (ARIENA) 307 Association for the Protection of the Alsatian Aquifer (APRONA) 307 Index
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.759 | 0.618 |
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".