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Record W1843755068 · doi:10.1098/rsbm.2001.0001

Zbigniew Stanislaw Basinski, O.C. 28 April 1928 – 12 August 1999

2001· article· en· W1843755068 on OpenAlexaboutno aff
A. Howie

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2001
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials Characterization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWifeDislocationPalestineVariety (cybernetics)Crystal (programming language)HistoryAncient historyChemistryComputer scienceTheologyCrystallographyPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

Zbigniew Basinski, widely known as Bas, was exposed early in life to turbulent events in Poland, Russia and Palestine. He studied chemistry at Oxford, then performed research in metal physics with Jack Christian (F.R.S. 1975). There he met Sylvia Pugh, his wife and lifelong partner, in an enduring and passionate study of crystal plasticity pursued largely in Canada. Over most of the period since the dislocation concept transformed the problem of explaining crystal weakness into one of explaining crystal strength, Basinski's experimental investigations of the obstacles to dislocation motion surpassed in quality and variety those of any other worker.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.100
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1000.051

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 head0.207
Teacher spread0.199 · 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

Citations1
Published2001
Admission routes1
Has abstractyes

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