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Record W7059630948

Oh Canadá

2000· article· en· W7059630948 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2000
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

Those of us working in international monetary theory have been wondering for a decade when Robert Mundell would receive his well-deserved Nobel Prize in Economic Sciences. In this field, the contribution of the Canadian economist is so important, so “seminal” - a widely used adjective, but really appropriate in this case - that in many controversial aspects his ideas are the basis of all discussion. However, a layman might be confused about the exact reasons why Mundell received his award. Almost pathetically the editorial page of The Wall Street Journal has declared that this is a Nobel for "the supply side". There is no reason to be surprised: Robert Bartley, the publisher, tries to argue that intellectual exoneration has been a nearly desperate goal lately. After eight years of "Clintonian" expansion that makes Reagan's "seven fat years" wrinkled, and full of silly-looking supply theories, like Jude. Wanniski, The Wall Street Journal would accept whatever is at hand.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.813
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0070.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8130.421

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 head0.004
GPT teacher head0.193
Teacher spread0.189 · 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
Published2000
Admission routes1
Has abstractyes

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Same venueDialnet (Universidad de la Rioja)Same topicMagnetic Field Sensors TechniquesFrench-language works237,207