The Essential Guide to the Loch Ness Monster and Other Aquatic Cryptids by Ken Gerhard
Bibliographic record
Abstract
This is a readable overview of reports of unidentified aquatic creatures in the oceans and in freshwater, and it can be a useful introduction for people who have not previously read much about this subject. Cryptozoologists, however, will find nothing new here; the treatment is purely descriptive rather than analytical and critical. A nice Foreword by Steve Feltham, in residence at Loch Ness for 30 years looking for Nessies, includes the important point that the number of actual sightings is a large multiple of the number of publicly known reports. The first two chapters are about the Loch Ness Monster. Chapter 3 deals with sea serpents. Chapters 4 through 6 are about the Canadian “Ogopogo” of Lake Okanogan, the American “Champ” of Lake Champlain, and less-well-known lake monsters of North America. Chapter 7 reports on lake monsters around the world. Chapter 8 surveys the typically mysterious carcasses periodically found on seashores. Chapter 9 mentions the surprises that the ocean depths occasionally reveal, notably the coelacanth, the giant squid, and the megamouth shark, as well as the little-known beaked whales, oarfish, and sturgeon of monstrous size.
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".