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Record W7132947948

A Framework for Informal Creativity

2020· dissertation· W7132947948 on OpenAlexfundno aff
Eden Sarid

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaGovernment of OntarioUniversity of TorontoMerck KGaAIntegra LifeSciences
KeywordsCreativityIntellectual propertySet (abstract data type)Production (economics)Creative industriesNarrativePeer productionOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores a puzzling phenomenon that defies common intellectual property (IP) wisdom: creative industries that produce high volumes of creativity, without the use of IP law. It addresses two key questions: What are the factors that sustain high levels of creative production and effectual social order in these creative industries? and what does this tell us about IP law and theory? It proposes an explanatory framework that accounts for successful creative production and social order, how obstacles are overcome, and how different actors contribute to creative production, thus developing new taxonomies and models for IP and ‘order without law’ scholarship. This thesis breaks new methodological ground by systematically synthesising and analysing multiple studies of such creative industries in conjunction, using legal, sociological, and economics scholarship, as well as narratives in popular culture such as social media and books. Based on a set of original questions, it locates different variables that affect creative production and social order. From these, it refines a set of five common features that explain the success of these creative industries: community – a distinct, organised group with shared goals, ethos, or interests; effective information networks; clear norms with effective compliance mechanisms and means for dispute resolution; law or legal institutions play an important role; and, that there are institutions for giving credit and attribution. Looking at these common features, this thesis also exposes that external players, such as suppliers, reviewers, bloggers, consumers, and fans, have a key role, alongside creators, in sustaining creative production and social order. It demonstrates the extent and magnitude of external players’ impact, by illustrating their roles in all of the five common features. For example, they monitor and enforce norms, disseminate information, and provide essential infrastructure for social interaction. Reflecting on this explanatory framework – the set of common features sustained by creators and various external players – I highlight several important implications: suggesting new taxonomies for self-governance by adding flexibility to current definitions of certain social institutions; a synergetic approach to the relationship between law and social norms; adding certain exceptions to IP law; and giving wider consideration to attribution rights.

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 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.004

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 head0.055
GPT teacher head0.329
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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