Bibliographic record
Abstract
Mr. Stone deserves great credit for the present paper, which is a good basis on which to build a better knowledge of plumage changes.Snch work is tending rapidly to disprove the many guesses formerly so common but noxv gradually being displaced by the results of nnbiased, systematic study.--W.P. Stone on Birds collected in North Greenland.•--Mr.Stone gives an annotated list of the birds "obtained by the Peary party during their sojourn in North Greenland from July, •89•, to Angnst, I892, and also of those collected by the Relief Expedition of •892."They consist of 122 specimens, besides numerous nests and eggs, part of which were collected by Mr. Langdon Gibson in the vicinity of Peary's winter quarters, and the remainder by Mr. Charles E. Hire, at various points from Disko to Cape York.The two collections number •9 species each, and collectively represent 28 species, only a part of the species being common to both collections.The annotations give the localities, and generally the dates, of the specimens obtained, with occasionally further notes of interest.No species are added to the Greenland fauna, but the breeding grounds of C•en •vdSerborea •tœvah's appear to be for the first time here made known.--j.•. ?,. Schalow on a Collection of Birds from West Greenland.•--In •892 the Geographical Society of Berli•a sent an expedition to West Greenland, under the directima of Dr. yon Drygalski, which was accompanied by Dr. Vanh6ffen as naturalist.The region explored extends from latitude 69 ø to 73 ø, and the expedition remained in the field from May, I$92, to October, •893.The birds collected number 29 species, of which •2 are 1 List of Birds collected in North Greenland by the Peary Expedition of 1891-92 and the Relief Expedition of 1892.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.037 | 0.011 |
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".