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Record W4231296174 · doi:10.11647/obp.0159.03

3. The Ethics of Emergent Creativity: Can We Move Beyond Writing as Human Enterprise, Commodity and Innovation?

2019· book-chapter· en· W4231296174 on OpenAlexaff
Janneke Adema

Bibliographic record

VenueOpen Book Publishers · 2019
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsConcordia University
Fundersnot available
KeywordsCreativityCommodityKnowledge managementCognitive scienceEngineering ethicsSociologyPsychologyBusinessComputer scienceEngineeringSocial psychology

Abstract

fetched live from OpenAlex

This contribution explores whether we can foreground a different vision of creativity and from there a reconfigured ethics of writing that is less focused on objects, outcomes, and ownership and more on messy, processual and relational notions of creativity as becoming. It argues from a feminist new materialist position that the current discourse on creativity is a material expression of creativity rather than merely its representation, and shows how this discourse has been defining, classifying, constructing, and situating creativity within a neoliberal framework of ‘creative industries’. Opening up from this discourse and the way we perform it through our writing practices might therefore enable us to explore extended relationalities of creativity, open-ended publishing processes, and a feminist ethics of care and responsibility. Alongside this reconfigured discourse this contribution will explore various entangled writing and publishing practices, from ‘uncreative writing’, to piracy and radical open access publishing in academia. How are these experimental, hybrid and posthuman writing practices intervening in the established discourse on creativity, and how can we through them start to performatively explore a new discourse and reconfigure the relationships that underlie our writing processes?

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.279
Teacher spread0.228 · 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 teacher head, not a consensus.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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