London 2021 GAC–MAC Joint Annual Meeting Field Trips
Bibliographic record
Abstract
GAC-MAC London 2021 is offering five field trips; four that will run virtually or in person depending on circumstances dictated by the state of the pandemic, and one that will run virtually only.Conference participants will have the option to take part in visiting:1) The deep karstic basin of Crawford Lake on the Niagara Escarpment to examine varves containing light inorganic and dark organic couplets; 2) The geological wonders of the Niagara Escarpment in the Hamilton area, including the sedimentary deposits, fossils, and lateral changes in lithological characteristics that have been affected by continuous erosion; 3) The 1140 to 1105 Ma volcanic and intrusive rocks of the Early Midcontinent Rift from the spectacular Lake Superior shoreline to as far east as Timmins (virtual only), including 'visits' to dykes, interlayered alkaline and tholeiitic basalt, and alkaline rocks of the Coldwell Complex; 4) The well-preserved outcrops of the Paleoproterozoic Huronian Supergroup, including evidence of early life, glacial activity, and effects of the Sudbury meteorite impact; this trip is dedicated to the memory of Grant Young; 5) An informative field trip for earth science educators that will take participants to the Oil, Gas and Salt Resources Library and Hungry Hollow to learn about the paleoenvironment and to create a fossil collection for use in their classrooms, and a tour of the newly-renovated Arkona Lions Museum and Information Centre.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.709 | 0.535 |
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".