MétaCan
Menu
Back to cohort
Record W2204736750 · doi:10.1016/j.laa.2016.03.006

Hans Schneider, 1927–2014

2015· article· en· W2204736750 on OpenAlexfundno aff
Richard A. Brualdi

Bibliographic record

VenueLinear Algebra and its Applications · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicNational Identity and Symbolism
Canadian institutionsnot available
FundersQueen's UniversityUniversity of Wisconsin-Madison
KeywordsMathematical economicsPhilosophyEconomics

Abstract

fetched live from OpenAlex

Hans Schneider was born on January 24, 1927 in Vienna, Austria.At the age of 12 in 1939, he fled from the Nazi regime to Scotland where he attended high school and then the University of Edinburgh.He received an M.A. (1948) and a Ph.D. (1952) with a thesis "Matrices with nonnegative elements" written under the direction of A.C. Aitken who, as Hans often said, gave him, what turned out to be, advice that shaped his mathematical career: Read Frobenius!Hans spent seven years at the Queen's University of Belfast in Northern Ireland, including one year on leave at

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)0.002
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 score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.015

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 head0.042
GPT teacher head0.331
Teacher spread0.289 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueLinear Algebra and its ApplicationsSame topicNational Identity and SymbolismFrench-language works237,207