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Record W4361269732 · doi:10.12789/geocanj.2023.50.193

Sudbury 2023: GAC–MAC–SGA Joint Annual Meeting Field Trips

2023· article· en· W4361269732 on OpenAlexaffvenueabout
Bruno Lafrance

Bibliographic record

VenueGeoscience Canada · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsLaurentian University
Fundersnot available
KeywordsTRIPS architectureJoint (building)Environmental scienceTransport engineeringEngineeringCivil engineering

Abstract

fetched live from OpenAlex

This year's 2023 GAC-MAC Annual Meeting returns to Sudbury after a 24 year absence, with the Society for Geology Applied to Mineral Deposits (SGA) as a partner.Sudbury's unique location at the junction between the Archean Superior Province, Proterozoic Southern and Grenville provinces, and Paleozoic-Quaternary cover sequences, offers opportunities to attend field trips in a wide variety of geological settings from Archean greenstone belts to Proterozoic glaciogenic rift-drift sequences to Paleozoic passive platformal sequences.Sudbury also sits on the worldrenowned Sudbury impact structure, is the world's premiere nickel-copper mining district, and is located within three hours drive of the prolific Abitibi-Wawa greenstone belt, which is famous for its world-class gold deposits and copperzinc volcanogenic massive sulphide deposits.All of these add up to an impressive offering of ten pre-and post-conference field trips lasting one to four days.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.004
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 score0.319
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.079
GPT teacher head0.379
Teacher spread0.300 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes3
Has abstractyes

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