Atlantic Geoscience Society Abstracts: 42nd Annual Colloquium & General Meeting 2016
Bibliographic record
Abstract
In the following pages, we are pleased to publish the abstracts of oral and poster presentations from the meeting, which included the following special sessions: ( 1) Recent Research in Petrology and Geophysics; (2) Recent Research in Sedimentary and Surficial Geology; (3) Recent Research in Economic Geology; (4) Dates, Rates, and Duration of Tectonic Processes-Timing is Everything; (5) Tin-related Mineralization and Exploration in the Maritimes; (6) Geoscience Education and Outreach: Creating an Awareness; (7) Offshore Geology of Eastern Canada; and (8) Advances in Carboniferous Geology in the Atlantic Provinces.Also included with the conference was a day-long workshop on "QA/QC in Geology Research and Exploration" by Cliff Stanley (Acadia University).The guest speaker at Saturday evening's banquet and social was Gerald Gloade (Mi'kmaq artist from Millbrook and Program Officer at Mi'kmawey Debert Cultural Centre) who gave an informative and entertaining presentation on Mi'kmaq legends in Atlantic Canada and how intertwined the relationship is between Glooscap and geology.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.415 | 0.281 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".