Bibliographic record
Abstract
Two thousand miles of zigzag shores, running south and running north, branch- ing east and branching west,no won- der that the chartless De Fuca, sailing between them day after day, believed himself to be exploring a vast river.Abler navigators than he, coming later still, clung to the idea, and it is not yet a hundred years since the majestic waters received their true name and place in the ocean family tree.No possible accuracy of naming, however, no completeness of definition, can lessen the spell of their fantastic wandering course.No matter if one were to commit their maps to heart and know their charts like a pilot, he would never lose a vague sense of expectation, surprise, and half bewilderment in cruising among their labyrinths.Bays within bays, inlets on inlets, seas linking seas,over twelve thousand square miles of surface, the waters come and go, rise and fall, past a splendid succession of islands, promontories, walls of forest, and towering mountains.Voyaging on them, one drifts back into their primitive past, and finds himself unconsciously living over the experiences of their earliest navi- gators.The old Indian names which still haunt the shores heighten the illu- sion ; and even the shrill screams of the saw-mill cannot wholly dispel it.The wilderness is dominant still.Vast belts of forest and stretches of shore lie yet untracked, untrodden, as they were a century ago, when Vancouver's young Lieutenant Puget took the first reckon- ings and measurements of their eminent domain.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.878 | 0.785 |
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".