Bibliographic record
Abstract
Research Article| October 01, 2017 From Economic to Social Geology Michel Jébrak; Michel Jébrak (SEG 1998 F) Dept. of Earth and Atmospheric Sciences, UQAM, CP 8888 centre-ville, Montreal, H4A 1N4 QC, Canada †E-mails, jebrak.michel@uqam.ca, krysmine@gmail.com Search for other works by this author on: GSW Google Scholar Patrice Christmann Patrice Christmann 163 rue de Savigny F-45640, Sandillon, France †E-mails, jebrak.michel@uqam.ca, krysmine@gmail.com Search for other works by this author on: GSW Google Scholar Author and Article Information Michel Jébrak (SEG 1998 F) Dept. of Earth and Atmospheric Sciences, UQAM, CP 8888 centre-ville, Montreal, H4A 1N4 QC, Canada Patrice Christmann 163 rue de Savigny F-45640, Sandillon, France †E-mails, jebrak.michel@uqam.ca, krysmine@gmail.com Publisher: Society of Economic Geologists First Online: 04 Aug 2021 Online Issn: 1550-2961 Print Issn: 1550-297X © 2017 The Society of Economic Geologists, IncThe Society of Economic Geologists, Inc SEG Discovery (2017) (111): 1–14. https://doi.org/10.5382/SEGnews.2017-111.fea Article history First Online: 04 Aug 2021 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Michel Jébrak, Patrice Christmann; From Economic to Social Geology. SEG Discovery 2017;; (111): 1–14. doi: https://doi.org/10.5382/SEGnews.2017-111.fea Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySEG Discovery Search Advanced Search The consumption of mineral resources has been increasing exponentially since the beginning of the industrial revolution, and especially since the 1950s (Jébrak, 2015; Arndt et al., 2017; Christmann, 2017). From 1950 to 2014, on the basis of historical production data published by the U.S. Geological Survey (USGS; Kelly and Matos, 2017), the production of mineral materials and metals widely used for construction grew by a factor of over 37 (aluminum), 29 (cement), 7 (copper), and 8 (steel), while at the same time the world population grew “only” by 191% (United Nations [UN] Department of... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.059 | 0.012 |
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".