Bibliographic record
Abstract
FALLThis is a closer view of tlie Canadian or Horseslioe Fall.Wliile it is called Horseshoe, the curve has little resemblance to a horseshoe ; it has more the shape of an inverted letter " A." A magnificent rainbow is almost constantly playing across the face of the Fall, occasionally widening sothat the whole sweep of its prismatic beauty covers the Fall like a protecting arch of glory.Looking upward at the massive, frowning cliff with the spray wetting our faces, the roar of the cataract is so great that it prevents communication save by signal and pantomine.The estimated depth of the water where it plunges over the precipice of the Horseshoe Fall is 20 feet. THE THREE SISTER ISLANDSThe Thr« Sister IslanJs are connected to Goat Island bv bridges.Thev have witnessed many awesome sights since Niagara Falls first became known to the world. Phev are three beautiful little islands King like emeralds on white velvet just above the Falls. Twenty-seven years ago William McCollough(ell into the rapids near the second Sister Island.When about a quarter of the way down to the spot where he was to be hurled to death over the brink the current lodged him against a low ledge of rock, from which he was rescued bv Conrov, a guide, who managed to reach the victim with a line.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.334 | 0.136 |
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".