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Record W2779559442 · doi:10.36510/learnland.v6i1.598

Leading Beautifully: The Creative Economy and Beyond

2012· article· en· W2779559442 on OpenAlex
Nancy J. Adler

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLEARNing Landscapes · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicArt History and Market Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsInnocenceNatural (archaeology)BeautyAestheticsCreative destructionSociologyLawPolitical economyLaw and economicsArtHistoryPolitical scienceEconomicsNeoclassical economicsArchaeology

Abstract

fetched live from OpenAlex

"These times are riven with anxiety and uncertainty" asserts John O’Donohue.1 "In the hearts of people some natural ease has been broken. . . . Our trust in the future has lost its innocence. We know now that anything can happen. . . . The traditional structures of shelter are shaking, their foundations revealed to be no longer stone but sand. We are suddenly thrown back on ourselves. At first, it sounds completely naïve to suggest that now might be the time to invoke beauty. Yet this is exactly what . . . [we claim]. Why? Because there is nowhere else to turn and we are desperate; furthermore, it is because we have so disastrously neglected the Beautiful that we now find ourselves in such a terrible crisis."2

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.210
Teacher spread0.196 · 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