CJG volume 26 issue 1 Back matter
Bibliographic record
Abstract
University of Toronto Quarterly are now offering online access to current and back volumes.The complete back file of Cartographica, from volume 1:1 (when the journal was known as The Cartographer) to volume 41, is also available.Although no other journal approaches Cartographica in the number of previously published issues, a significant amount of earlier material is included with almost every journal.Our site has all the features that users and librarians look for in an electronic resource.In particular, we offer readers full searching (full text, Boolean, relevancy ranking, and persistent keyword searching), quick searching (single field, single button, automatic recognition of ISSN and DOI), advanced searching (citation text, publication, subjects, or content types), search results (summaries, dimensional navigation, abstracts, citation or tabular results, search within results, filter selected items), parent list navigation, publication metadata, TOC alerting, forward reference linking, and link exports.For librarians, our system simplifies access management, linking, and usage reporting with powerful yet easy-to-use administration tools.Support for established and emerging standards, such as MARC, OpenURL, and COUNTER, enables seamless integration with existing library systems.To ensure preservation and continued access into the future, Library and Archives Canada will provide the archive for all ten electronic journals.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.752 | 0.614 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".