Bibliographic record
Abstract
This chapter contains sections titled: Introduction General Overview of Tracer Techniques Exotic Particles Painted Particles Fluorescent Paint Radioactive Tracers Ferruginous Tracers Magnetic Tracers Active Tracers: Radio Transmitters Suspended Load and Washload Tracing Case Study: Arroyo De Los Frijoles, New Mexico, USA (Leopold et al. 1966) Case Study: North Loup River, Nebraska, USA (Hubbell and Sayre 1964, Sayre and Hubbell 1965) Case Study: Nahal Hebron, Negev, Israel (Schick et al. 1987, Hassan et al. 1991, Hassan and Church 1992, 1994) Case Study: Lainbach, Germany (Ergenzinger et al. 1989, Schmidt and Ergenzinger 1992, Busskamp 1994, Gintz et al. 1996) Concluding Remarks Acknowledgements References
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 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.276 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".