Bibliographic record
Abstract
This book is about using the vast stores of information preserved in lake, river, and reservoir sediments to tract past environmental changes.''This apt description summarizes well the value of this book.This book would be an excellent upper level undergraduate or graduate level coursebook.It presents the use of the paleoecological record in the assessment and analysis of the climate and environment through which natural systems have formed and developed.The book contains a wonderful balance of highly technical information along with the applied use of the information for understanding the environmental experiences of a natural system.Chapters 1 through 5 present the what's and the ''how to's'' of reading the paleolimnology.It presents the science as well as the practical collection and reading of sediments and the types of biological and physical materials entrapped in them.Chapter 6 is the transition chapter that includes the means and methods of calibrating the information collected from the paleoecological record of training and test sets to understand how environmental variables affect the numbers and distributions of organisms -this is the tricky part.Chapters 7 through 15 review various man-induced perturbations and how the paleolimnological record responds.These perturbations include, acidification (the ''smoking gun''), metal deposition, Mercury (''the metal that slipped away''), eutrophication, accelerated erosion, invasive species introduction as well as species extirpation, greenhouse gas emissions and their effects on water resources ecology, and ozone
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.508 | 0.401 |
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".