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Record W6984876842

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2019· article· en· W6984876842 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons@CalPoly · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsParadiseMilePrincipal (computer security)Quarter (Canadian coin)Sense of place
DOInot available

Abstract

fetched live from OpenAlex

While the bulk of Paradise would remain as it was – a single-family community nestled in the pine forest – the students wanted to counter the lack of a sense of place in Paradise. To that end, they proposed creating several areas throughout the town that would have a more village-like or Main Street atmosphere.\nThe largest of these would be two pedestrian-oriented districts at either end of the main part of Pearson Road, connected by an expanded Paradise Community Park. In these new districts, named East Village and West Village, many of the town’s principal civic, cultural, and commercial uses, including new multi-family housing, would together create an active “Heart of the Town,” where townspeople could meet many of their daily needs and where the town’s many cultural events – Gold Nugget Days and Johnny Appleseed Days – could take place.\nThe other areas would be dispersed throughout the town, located a half-mile or mile apart, clustered around churches, schools, and other private institutions. These “Neighborhood Centers” would be miniature versions of the main one, but likewise places where townspeople could come together to socialize, shop, worship, and learn.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.286
Threshold uncertainty score0.957

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.001
Scholarly communication0.0050.004
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2860.069

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 head0.037
GPT teacher head0.217
Teacher spread0.180 · 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
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

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