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Record W4236520180 · doi:10.1190/tle39100760.1

Memorial

2020· article· en· W4236520180 on OpenAlexaboutno aff
Nancy A. Van House

Bibliographic record

VenueThe Leading Edge · 2020
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorMinor (academic)Interpretation (philosophy)GeologyArchaeologyLibrary scienceHistoryArtHumanitiesPhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract Donald Macpherson was born in Edmonton, Alberta, Canada, on 6 October 1941. He passed on 20 August 2020. Though he was a proud Canadian till the end, he clung to his Scottish culture and became a fixture with his bagpipes at many events throughout the Dallas–Fort Worth area. He attended the University of Alberta, initially studying music and fine arts and earning a bachelor's degree in 1964 with a minor in math and chemistry. He graduated with a master's degree in isotope geochemistry and geophysics from the University of Alberta in 1965. Don walked into the “best job in the world” as a geophysicist at Mobil Oil Canada in 1965. There, he was responsible for seismic acquisition crews, processing, and interpretation of geophysical data.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.637
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6370.307

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 head0.038
GPT teacher head0.238
Teacher spread0.200 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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