Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Our January 2024 issue features papers on the L'Enfer Norite in Qubec, highlighting its possible link to the enigma that remains Proterozoic anorthosite petrogenesis.Enfer also means "hell" in French, just to add additional spice to the story.Where else would magmas originate?Other contributions include a study of inclusions in Argentinian corundum, diagenetic carrollite (a Cu-Co sulfide and the main ore mineral of cobalt) from the Central African Copperbelt, gold-bearing sperrylite from Brazil, and unit cell variations in chromite indicator minerals from diamondiferous and non-diamondiferous kimberlites.New minerals appearing here include trebiskyite (the first Ti-decavanadate (TiV 9 ) mineral, from Montana, kodamaite (an alkali-alkaline earth fluorosilicate-hydrate from Qubec), and stanevansite, a hydrous glycolate from Arizona.Ever wanted to rationalize your pyrochlore supergroup stoichiometries, but couldn't?Thanks to Fuat and Vural Yavuz, a Windows-based software is now available.Our recent, most-read publications, according to GeoScienceWorld, include the following: Growth and Stability of Stratiform Carrollite (CuCo 2 S 4 ) in the Tenke-Fungurume Ore District, Central African Copperbelt, by Bjorn Von Der Heyden, Jeffrey Dick, Ryan Rosenfels, Luke Carlton, Kristina Lilova,
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.
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) | 0.003 | 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 it