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Record W2074756348 · doi:10.1107/s0108767310008044

Louis Delbaere (1943–2009)

2010· article· en· W2074756348 on OpenAlexfundaboutno aff
Edward N. Baker

Bibliographic record

VenueActa Crystallographica Section A Foundations of Crystallography · 2010
Typearticle
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsnot available
FundersMedical Research CouncilUniversity of Alberta
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

It was with great shock and sadness that the crystallographic community learned of the sudden death of Louis Delbaere on October 5, 2009.Louis was a current member of the IUCr Executive Committee, and was known and respected around the world as a scientist of great integrity.Like many others, I felt personally privileged to count him as a close friend and colleague, and it has taken me some time to come to grips with his loss.It is an honour to be able to write this short tribute.Louis was born in Saint Boniface, Manitoba, the third child of a family of 12. Shaped by this upbringing, his relationships with family and friends remained central throughout his life.A chance event led Louis into crystallography.While pursuing a PhD in synthetic chemistry at the University of Manitoba, he was scooped by a competitor.Undeterred, he grew some beautiful crystals of a copper complex, solved its structure and was hooked.A period as a Postdoctoral Fellow at the University of Oxford, with Keith Prout, followed and it was there that his horizons expanded, scientifically, socially and geographically.As it was for many of us from 'the colonies', it was a chance to make life-long friends and get a sense of where science was going.Following his time in Oxford, Louis looked to return to Canada.His strong sense of family led him to look to the Canadian prairies, where he grew up, and it was there that he developed the rest of his scientific career.Fortuitously,

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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 designBench or experimental
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

Citations1
Published2010
Admission routes2
Has abstractyes

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