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Record W2242683937 · doi:10.1109/mssc.2015.2497639

Miles Copeland: Three Decades of Scientific Excellence and Industrial Relevance

2016· article· en· W2242683937 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIEEE Solid-State Circuits Magazine · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsInformation Technology Association of Canada
Fundersnot available
KeywordsExcellenceRelevance (law)PleasureGraduate studentsSociologyManagementWork (physics)Quality (philosophy)Library sciencePublic relationsMedical educationEngineeringPsychologyPolitical sciencePedagogyComputer scienceLawMedicine

Abstract

fetched live from OpenAlex

We know Miles Copeland well as an academic, having attended his graduate-level courses and then having the pleasure of working alongside him at Carleton University in Ottawa, Canada, delivering courses on selected topics in IC technology to graduate students. We know him better through a series of intensive collaborations in the industrial setting of Bell-Northern Research (BNR) and Northern Telecom (NT, later just Nortel) that began in the early 1970s. Miles, from the perspective of local industry, was not just seen an international leader in the field of analog/mixed-signal/RF IC design; rather, we were mentored by him personally as a technical expert. We also watched him mentor generations of graduate students as a professor, teacher, and advisor at Carleton. He and his research teams have consistently produced innovative results of the highest quality that have been extensively published and recognized by peers, his academic institution, and industry as an extraordinary body of work.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.251
Teacher spread0.220 · 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