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Record W2002175617 · doi:10.1029/2009eo300004

Lebans, Handman, McDonald, and Lurie Receive 2009 Walter Sullivan Award for Excellence in Science Journalism—Features

2009· article· en· W2002175617 on OpenAlexaffabout
Andrew J. Weaver, Jim Handman

Bibliographic record

VenueEos · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsCBC (Canada)University of Victoria
Fundersnot available
KeywordsExcellenceCorporationPortraitJoint (building)ManagementSociologyArt historyPolitical scienceArtEngineeringEconomicsArchitectural engineeringLaw

Abstract

fetched live from OpenAlex

Jim Lebans, Jim Handman, Bob McDonald, and Zerah Lurie of the Canadian Broadcasting Corporation (CBC) Radio's Quirks & Quarks program received the Walter Sullivan Award at the Joint Assembly, held 26 May 2009 in Toronto, Ontario, Canada. Lebans, Handman, McDonald, and Lurie were honored for “Canada 2050: Our Future in a Changing Climate,” an eight‐part, audio portrait of Canada after 4 decades of expected climate change, depicted through the words of Canadian scientists at the forefront of predicting climate, ecological, and societal transformations.

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)0.005
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.066
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0060.001
Scholarly communication0.0110.003
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0660.028

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 head0.021
GPT teacher head0.335
Teacher spread0.314 · 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
Published2009
Admission routes2
Has abstractyes

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