Introduction
Bibliographic record
Abstract
ABSTRACT This chapter has no abstract. This Special Paper covering “New Developments in the Appalachian-Caledonian-Variscan Orogen” follows our 2019 GSA Annual Meeting session with the same title (convened by Kuiper, Nance, Murphy, and Strachan; 32 contributions) and our 2019 GSA Northeastern (NEGSA) Section meeting session “Peri-Gondwanan Terranes and Their Origins: What Do We Really Know?” (convened by Kuiper, Thompson, and Nance; 14 contributions). It has been a quarter century since the publication of the GSA Special Paper, Avalonian and Related Peri-Gondwanan Terranes of the Circum-North Atlantic, by Nance and Thompson (1996). With new analytical and field techniques, and increased international communication and collaboration, much more has been learned about the Appalachian-Caledonian-Variscan orogen. Cross-Atlantic correlations are better understood, and the database that helps us understand the origins of Gondwanan terranes continues to grow.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.620 | 0.441 |
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".