Bibliographic record
Abstract
This Windows application converts geographic coordinates between any pair of eleven systems; latitude and longitude as well as different grid and map projection systems. The grid systems supported are Township and Range, British Columbia's NTS-based grid system, the Canada Lands system, the UTM/UPS system, and the UTM/UPS-based Military system. The projections supported are Transverse Mercator, Polar Stereographic, Lambert Conformal, American Polyconic, and Albers Equal Area. Transformations can be done in either the NAD83, NAD27 or MAY76 datums. Use NAD83 for WGS84. Note that the Twp Rge grids are assumed to be the same in each datum with the NAD83 coordinates being obtained by application of NTV2 on the NAD27 coordinates. To use the tool the user (1) enters a location and defines its coordinates system on the input source screen, (2) defines the desired output system on the output destination screen, and (3) selects the find button. The application then calculates the location in the destination system. For File I/O the user is first given a screen with a choice of Long or Short Record format, then a screen to select the comma delimited input File. Records are of form: {source}, identifier,{destination} and required quantities not specified default to the screen value. The output file has the same name as the input file except the extension is changed to '.new'. The application is a Delphi (Trade Mark) run-time module for Windows XP and 95/98/00.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.323 | 0.176 |
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".