Supercontinents, orogenesis and magmatism: a tribute to the career of J. Brendan Murphy
Bibliographic record
Abstract
Abstract Special Publication 542 is a tribute to the remarkable career of J. Brendan Murphy and features 32 articles by 134 authors from 17 different countries; a testament to the high-profile and far-reaching influence of Brendan's work. The topics are wide-ranging in accord with Brendan's diverse research interests, but fall into three broad categories that encompass Brendan's main fields of influence: (i) supercontinents and the supercontinent cycle, including reconstructions and modelling, (ii) orogenesis and terranes, with a focus on the Appalachian–Variscan and Central Asian orogenic belts and the oceans with which they are associated and (iii) magmatism and magmatic processes, with an emphasis on the geochemistry and isotopic compositions of magmas in arc and rift settings. Like Brendan's own research, the scope of the papers spans the globe from Canada to China and ranges from regional field-based studies to conceptual global analyses. All of the articles, however, are focused on unravelling some critical aspect of geology or aimed at clarifying some crucial geologic process. Hence they also share a theme common to Brendan's many contributions in emphasizing the importance of process-oriented research.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".