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Record W2106679376 · doi:10.1139/e05-053

Introduction to special issue of <i>Canadian Journal of Earth Sciences</i>: The Trans-Hudson Orogen Transect of Lithoprobe

2005· article· en· W2106679376 on OpenAlexaffvenueabout
Z. Hajnal, Kevin Ansdell, K Ashton

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsGovernment of SaskatchewanGeological Survey of CanadaUniversity of Saskatchewan
Fundersnot available
KeywordsLaurentiaCratonArcheanGeologyTectonicsTerraneEarth scienceTransectYilgarn CratonPaleontologyGeochemistry

Abstract

fetched live from OpenAlex

Dedication: Dr. John F. Lewry (1939–1999; see Saskatchewan Geological Survey 1999) dedicated his career to investigations of the Saskatchewan–Manitoba segment of the Trans-Hudson Orogen (THO), one of the principal Paleoproterozoic orogens associated with the assembly of Laurentia. Indeed, one can make a strong case that Lithoprobe's Trans-Hudson Orogen Transect (THOT) was designed to test the tectonic models proposed by John Lewry. He delineated the distinct tectonic provinces in the western part of the THO, predicted the presence of an Archean craton trapped within the THO, and recognized and interpreted the significance of the Pelican Thrust between the juvenile Paleoproterozoic volcanic arc complex of the western Flin Flon Domain and the Archean craton, now called the Sask craton. The research published in Lewry and Stauffer (1990), and many of his ideas, provided the framework for the design of the THOT geophysical and geological studies. John Lewry was co-leader of the THOT until he passed away in 1999 after a battle with cancer. This Special Issue of the Canadian Journal of Earth Sciences is dedicated to him.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.217
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0040.002
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1360.042

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 head0.015
GPT teacher head0.195
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations15
Published2005
Admission routes3
Has abstractyes

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