Bibliographic record
Abstract
Original data sheets used to compile summaries of weather at Baker Lake, Nunavut in: Smith, S.M. 1970. The biting flies of the Baker Lake region, Northwest Territories (Diptera: Culicidae and Simuliidae). Ph.D. Thesis, The University of Manitoba, Winnipeg. Data sheets for the following are enclosed: • Day-degree sums >32°F 1967 • Day-degree sums >32°F 1965 (a cold year), 1960 (warm year) and 1958 (average year) • Daily temperatures, 1958–1968 • Weather summaries, 1958–1967 • Wind, 1963–1967 • Soil temperatures, 1965–1967 • Temperature and precipitation synopses, 1958–1967 • Temperature and precipitation summaries, 1958–1967 • Daily precipitation, 1958–1967 Note that the PDF is image only — no OCR. The raw data were compiled by Mrs J. West, Department of Entomology, University of Manitoba. PDFs of the thesis is available at https://dl.dropboxusercontent.com/u/3686717/SmithSM_1970_PhD_Thesis.pdf This is a PDF portfolio — it contains both the scanned original and the new, text version. If you prefer to download just one or other of the two files in the portfolio (it’s easy to extract them from the portfolio), here are links: https://dl.dropboxusercontent.com/u/3686717/SmithSM_1970_PhD_Thesis_Scanned_Version.pdf https://dl.dropboxusercontent.com/u/3686717/SmithSM_1970_PhD_Thesis_Text_Version.pdf
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.053 |
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".