Paleoproterozoic dyke swarms and large igneous provinces of northern Canada and their use in understanding extension, rifting, and paleocontinental reconstructions
Bibliographic record
Abstract
Giant mafic dyke swarms and related large igneous provinces play an important role in the understanding of the tectonic evolution of ancient continents and supercontinents. The information available for well dated Paleoproterozoic dyke swarms and large igneous provinces in northern Canada is summarized in this synthesis, with an emphasis on their age, geographic distribution, paleomagnetism, and potential linkages to coeval magmatic events. Their tectonic settings, with a focus on links to rifting and continental breakup, are also discussed. Finally, the use of giant dyke swarms and large igneous provinces for testing paleocontinental reconstructions is considered, based mainly on paleomagnetism or on matching coeval magmatic events or sequences of magmatic events (magmatic barcoding) between cratons.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".