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Record W4366824091 · doi:10.1021/cen-10113-buscon8

Nova, Grace get new leadership

2023· article· en· W4366824091 on OpenAlexaboutno aff
Alex Tullo

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsChief executive officerManagementOfficerInterimNova (rocket)Political scienceConglomerateEngineeringLawAeronauticsEconomicsGeology

Abstract

fetched live from OpenAlex

Two large chemical makers are in for big leadership changes. The Canadian petrochemical maker Nova Chemicals has appointed Roger Kearns as CEO. He was previously chief operating officer of the larger Houston-based petrochemical firm Westlake. He succeeds interim CEO Danny Dweik, who will continue to serve on Nova’s board. Nova’s previous CEO, Luis Sierra, stepped down last October. W. R. Grace CEO Bob Patel is being promoted to president of the privately held conglomerate Standard Industries, which purchased Grace in 2021. Patel joined Grace in 2022 after running LyondellBasell Industries for 7 years. To oversee Grace, Standard has tapped Ed Sparks, who previously headed Chemours’s titanium technologies and chemical solutions unit.

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: Other · Consensus signal: Other
Teacher disagreement score0.234
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0060.001
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.2340.159

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 head0.091
GPT teacher head0.337
Teacher spread0.246 · 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
Published2023
Admission routes1
Has abstractyes

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