Insights from Scientific Drilling on Rifted Continental Margins
Bibliographic record
Abstract
Sampling of sedimentary and crustal formations across rifted continental margins has long been a priority of DSDP, ODP, and other scientific ocean drilling. Recent results of drilling and related geophysical surveys across several margin segments in the North Atlantic have revealed that continents break apart in two fundamentally different ways. Volcanic margins form when rapid mantle up-welling produces a large amount of melt just prior to and during rifting. On non-volcanic margins, slow rates of rifting the continental crust expose regions of serpentinized mantle with little evidence of melting. Sampling, however, has thus far been restricted to regions of thin sediment cover, which has limited our ability to study the full range of rifted margin evolution. The next phase of scientific drilling will have enhanced capabilities that will allow drilling of both shallow- and deep-water basins, including those with thick sediments with hydrocarbon potential, such as the outer Grand Banks and Scotian margins. To make this a reality, it will be essential to combine both industry and academic interests and work to ensure continued Canadian participation. Resume L'echantillonnage des formations sedimentaires et crustales a travers les marges continentales divergentes, a longtemps ete une priorite pour le DSDP, l'ODP et d'autres projets scientifiques de forages oceaniques. De recents resultats de forages et de leves geophysiques concomitants a travers plusieurs segments de marges en Amerique du Nord ont montre que les continents se fragmentent de deux facons fondamentalement differentes. Des marges volcaniques se forment lorsque des remontees mantelliques entrainent l'accumulation de forts volumes de roches fondues juste avant et durant la distension crustale. Sur les marges non-volcaniques, de faibles taux de distension crustale devoilent des regions de nature mantellique serpentinisees montrant peu d'indices de fusion. Mais, jusqu'a present, l'echantillonnage a ete limite aux regions au couvert sedimentaire mince, ce qui ne nous a pas permis d'etudier la gamme complete de l'evolution des marges de divergence. La prochaine phase de forage scientifique sera pourvue d'un equipement ameliore permettant de forer aussi bien les bassins d'eaux peu profondes que profondes, dont ceux a fortes epaisseurs sedimentaires et comportant un potentiel d'hydrocarbures comme ceux des marges des Grands bancs et de la marge ecossaise. Pour y arriver, il faudra que l'industrie et le secteur academique travaillent de concert pour assurer la continuation d'une participation canadienne.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".