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Record W4295957419 · doi:10.1109/mcom.2022.9893748

ComSoc Awards

2022· article· en· W4295957419 on OpenAlexaff
Xuemin Shen, Jelena Mišić

Bibliographic record

VenueIEEE Communications Magazine · 2022
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputer scienceTelecommunicationsField (mathematics)GlobalizationManagementEngineering managementPolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

The IEEE Communications Society honors members and individuals for accomplishments in education and research, significant contributions to the industry that benefits the public, conferences, publications, and globalization, and those whose leadership resulted in major advances in the information and communications technology field. In this issue of the President's Page, I am pleased to introduce Jelena Mišić, the Chair of IEEE ComSoc Awards Committee for 2022–2023 to share with you the ongoing activities.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.343
Threshold uncertainty score0.937

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0090.002
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.3430.327

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 head0.049
GPT teacher head0.313
Teacher spread0.264 · 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.

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
Published2022
Admission routes1
Has abstractyes

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