Bibliographic record
Abstract
The writer proposes a simple and practical set of symbols for use in the preparation of periglacial maps. These maps can he constructed rapidly and at modest cost. In a preliminary section dealing with cartographie principles, the writer proposes that jour aspects of periglacial studies he mapped ; phenomena, « conditions », regions, and aspects of applied periglacial studies. Attention will also he given to chronology. Symbolisation conforms to the following scheme : drawings or designs for phenomena, lines and curves for conditions, line patterns for regions, and letters to indicate aspects of applied periglacial studies. Colours can he used where more than one cold period has occurred. The writer proposes in Table I (in pocket) the use of more than one hundred symbols for the representation, on a 1:50,000 base map, of periglacial phenomena. The problems of classification of periglacial phenomena are also discussed, with the writer suggesting a classification based upon group of process. Among the categories included are : gelisolation, gelifraction, gelifluction, nivalisation, action of floating ice, gelifluviation, wind action and polygonation. The text ends with a glossary of periglacial terms.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".