MAFIC AND ULTRAMAFIC INCLUSIONS
Bibliographic record
Abstract
Three hundred and ninety inclusions from the igneous sublayer of the Sudbury Igneous Complex have been ex-amined, and many of them analyzed by microprobe. The 264 samples from the Strathcona mine of the North Range vary from dunite through harzburgite, wehrlite and clinop;roxenite to norite and gabbro, whereas the 126 samples from mines of the South Range include only rock types vdth onhopyroxene dominant, such as harzburgite and melanorite. The texture of the rocks ranges from that of a well-developed adcumulate, mesocumulate or or-thocumulate to an extensively granulated and recrystalliz-ed fabric. On both the North and South Ranges, olivine varies from 85 to 73 mole Vo Fo, hypersthene from 13.5 to 31 mole 9o Fs, augite from 5 to 15 mole go Fs, plagioclase(including both cumulus and intercumulus phases) from 90 to 30 mole 9o An, and chromite contains up to 50.8 wr. u/o Cr2O3. The textures, presence of plagioclase and evidence of olivine reacting to give orthopyroxene suggest that the inclusions crystallized at crustal pressures. The range of rock types and the observed correlation of increas-ing MgO/(MgO+FeO) ratio in mafic minerals wittr increas-ing content of mafic minerals in the host rocks suggest strongly that these rocks are derived from one (or more than one) hidden layered intrusive bodies. Our data do not allow us to state that this intrusive body is cogenetic with the Sudbury norite, but they are consistent with this interpretation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".