Bibliographic record
Abstract
Geoscape is the name for a long term geoscience outreach initiative led by staff of the Geological Survey of Canada (GSC) Vancouver office and designed to better connect people to the land they live on. Although largely focused on outreach in British Columbia, the initiative has been active across Canada and supported by a number of different GSC programs. Geoscape products, some 35 in total, include Geoscape, GeoMap, Waterscape, and climate change series posters, as well as geological highway maps and GeoTour booklets. A popular geoscience book and a national climate change poster series were inspired by Geoscape work. Begun in 1994, Geoscape has drawn dozens of Canadian geoscientists and educators into outreach efforts. This paper summarizes the accomplishments of Geoscape and some of the lessons we learned along the way.SOMMAIREGéopanorama est le nom d'une activité géoscientifique de sensibilisation à long terme menée par le personnel du bureau de Vancouver de la Commission géologique du Canada (CGC) visant à créer des liens entre les gens et la terre sur laquelle ils vivent. Bien que visant largement la sensibilisation en Colombie-Britannique, l’activité a été menée à travers le Canada et soutenue grâce à un certain nombre de programmes différents de la CGC. Quelques 35 productions de Géopanorama ont déjà été réalisées, dont Géopanorama, GeoMap, Waterscape, une série d’affiches sur le changement climatique, ainsi que des cartes routières géologiques et des livrets touristiques GeoTour. Un livre géoscientifiques grand public et une série nationale d’affiches sur le changement climatique découlent directement de Géopanorama. Commencée en 1994, Géopanorama a inspiré les efforts de sensibilisation de dizaines de géoscientifiques et d’éducateurs canadiens. Le présent article présente un sommaire des réalisations de Géopanorama ainsi que certaines des leçons que nous avons apprises en cours de route.
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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 | 0.042 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".