News Related to the Association of Canadian Map Libraries and Archives
Bibliographic record
Abstract
Giant floor map of Indigenous CanadaWe hosted the Canadian Geographic giant floor map of Indigenous Canada at UNBC in May 2019 in conjunction with the annual meeting of the Canadian Cartographic Association and annual convocation ceremony.The map author, Chris Brackley (in photo), 'As the Crow Flies Cartography', gave the keynote address which can be watched here: https://cca-acc.org/2019-cca- conference-keynote-presentation.htmlThe map design is also described in the 4-volume atlas that most map libraries should have: https://indigenouspeoplesatlasofcanada.ca/Jack Challenger map Even the giant floor map however would be dwarfed by the Challenger map of British Columbia completed in 1954 and exhibited in the BC Pavilion in Vancouver until 1997.This amazing 3D map handcut in plywood by Jack Challenger and his family, now sits in blocks in a warehouse until someone can provide a permanent home.All it needs is a 2000m 2 area and building maintenance costs -scale is 1:50,000 and measures ~ 45 x 45 metres.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.103 | 0.031 |
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".