“Transcript of Summer 1945 and 1946 Notes Based on Trips to the Outer Shores, West Coast of Vancouver Island, Queen Charlotte Islands, and So On”
Bibliographic record
Abstract
By 1945, Edward F. Ricketts had begun what he expected to be the third volume in his North American Pacific trilogy, a study of the outer shores of British Columbia that would complete an ecological map of marine invertebrates of the North American Pacific coast. That summer, he and Toni Jackson made a six-week ecological reconnaissance of Vancouver Island studying marine specimens and coastal environs; the first of a series of preparatory trips for the project. One year later, they returned and expanded their survey to include the Queen Charlotte Islands. Ricketts saw the two trips as the groundwork for the book “The Outer Shores” and the expedition he and John Steinbeck would take together in the future. In early 1948, he compiled his notes and recollections into the “Outer Shores Transcript,” in which he makes more complex connections between animal societies and human behavior, a shift in his attention away from aggregations and cooperation. Ricketts looks instead at the intricacies of relationships, and begins to articulate an integrated system of associations, or the concept of the ecosystem.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.009 |
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".