Bibliographic record
Abstract
The Global Geopark Network (GGN), assisted by UNESCO comprised 100 geoparks at the start of the meeting, located in Europe, Asia, North and South America.As the only member of the GGN in North America, Stonehammer Geopark was pleased to host the first international meeting of network outside of Europe and Asia.Previous meetings had been in China (2004), The United Kingdom of Great Britain and Northern Ireland (2006), Germany (2008); Malaysia (2010) and Japan (2012).On the last day of the meeting Tumbler Ridge Geopark in British Columbia was admitted to the Global Network, along with ten other new geoparks, bringing the global total to 111 global geoparks, and now including Africa.Tumbler Ridge Geopark is the second Canadian member and second North American Global Geopark.The meeting, which celebrated the 10th anniversary of the GGN, was attended by almost 500 delegates from more than 30 countries.Global Geoparks are about more than just rocks.While a Global Geopark must have exceptional geological heritage it includes sites with interesting archaeology, wildlife and habitats, history, folklore and culture, all of which are intricately linked with the underlying geology.In the following pages, we are pleased to publish the abstracts of oral and poster presentations from the meeting, which were divided into seven themes: ( 1) Geoparks and sustainable use of natural resources; (2) Engaging Communities; (3) Education and Interpretation in Geoparks; (4) Aspiring Geoparks; (5) Mature Geoparks; (6) UNESCO Collaboration; and (7) Intangible Cultural Heritage.We wish to acknowledge the outstanding support from more than 60 community volunteers, Experience Providers, and the local hospitality industry that welcomed the world to Stonehammer Geopark.Members of the Stonehammer Geopark are equally pleased to see the abstracts published in Atlantic Geology.Our thanks are extended to all of the presenters and the editorial staff of the journal.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.136 | 0.022 |
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".