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Record W4234072985 · doi:10.4138/14256

Abstracts – Geological Association of Canada, Newfoundland Section – 2010 Spring Technical Meeting

2010· article· en· W4234072985 on OpenAlexaffvenueabout

Bibliographic record

VenueAtlantic Geology · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsGeological Survey of CanadaGovernment of Newfoundland and LabradorMemorial University of Newfoundland
Fundersnot available
KeywordsSection (typography)Spring (device)GeologyArchaeologyPhysical geographyLibrary scienceGeographyEngineering

Abstract

fetched live from OpenAlex

Following our long-standing tradition, and in keeping with our sense of the absurd, the 2010 Spring Technical Meeting was once again held in the depths of the Newfoundland winter in the Johnson GEO CENTRE on scenic Signal Hill in St. John's.The meeting featured a special session intended to highlight recent resource developments and the renewed interest in the energy potential of the province, especially as it relates to onshore and offshore petroleum, but also included energy minerals and other resources.A special session featured a series of talks related to the Geological Survey of Canada's Targeted Geoscience Initiative (TGI) program in Newfoundland.For those specifically interested in the TGI Program and the geology of central Newfoundland, a post-conference workshop (organized by Geological Survey of Canada and Geological Survey of Newfoundland and Labrador) was held to discuss outcomes and future plans.In addition, a general session included papers on an eclectic range of topics, as is normally the case at these meetings.The 2010 meeting featured the third of the "Topical Geoscience Lecture" series, co-sponsored by the Professional Engineers and Geoscientists of Newfoundland and Labrador (PEG-NL).The speaker was Dr. Maurice Tivey of the Woods Hole Oceanographic Institute, who spoke on the scientific, technical, and jurisdictional challenges in the development of seafloor mineral resources.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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.

Study designObservational
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

Citations0
Published2010
Admission routes3
Has abstractyes

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