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Record W3190804473 · doi:10.5382/segnews.2017-111.fea

From Economic to Social Geology

2017· article· en· W3190804473 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSEG Discovery · 2017
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.010
GPT teacher head0.224
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it