Commemorating the 30th Anniversary of the Barbara Petchenik Children’s Map Competition and exploring directions for the future
Bibliographic record
Abstract
Abstract. The thirty-year anniversary of the Barbara Petchenik Children’s Map Competition, created by the International Cartographic Association (ICA) in 1993, will be celebrated at the 31st International Cartographic Conference (ICC 2023) in South Africa. It was initiated under the leadership of Professor D. R. Fraser Taylor, then ICA President, and its aim was to promote creative graphic cartographic representation of the world by children. A commemorative UNICEF poster was produced to support the initiative, and over past decades, Brazil has engaged in intensive school mapping work with children and researchers, some of this presented in commemorate books, including Dra. Carla de Sena’s new book “Children’s Maps: The History of the Lívia de Oliveira Competition” (2021). From 2005, ICA in collaboration with prestigious publishers (Esri Press, SinoMaps, National Geographic Institute of Spain) produced the "Children Map the World" series, which currently counts with six volumes. Submitted drawings are also used in other periodical publications as journals and books published by international and national organizations in different countries. The competition maps are sent to Carleton University Library where they are processed for digital and physical archiving and all the entries are then made publicly available at - https://childrensmaps.library.carleton.ca/. This special anniversary presents as a pivotal moment to commemorate, advance and expand the reach and import of children mapping their worlds. This presentation will review the developments in the Barbara Petchenik Childrens Map Competition over the years, and discuss some exciting new developments and directions for the future.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.076 | 0.018 |
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".