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Record W3010126233 · doi:10.18432/ari29524

From Bubbles to Foam, A Nomadic Interpretation of Collaborative Publishing: A Review of Jorge Lucero and Colleagues’ Article in Art Education

2020· review· en· W3010126233 on OpenAlexvenueno aff
Chloë Dierckx, Nico A. Canoy, Jessica Schoffelen, Ellen Anthoni, Sara Coemans, Lynn Hendricks, Karmijn van de Oudeweetering, Ruth Segers, Pinelopi Tzouva, Hanne Vrebos, Karin Hannes

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2020
Typereview
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsConversationPublishingInterpretation (philosophy)Social mediaSociologyPower (physics)PsychologyMedia studiesLinguisticsArtComputer scienceWorld Wide WebLiteratureCommunication

Abstract

fetched live from OpenAlex

This review is a bricolage of nomadic encounters with Jorge Lucero and colleagues’ (2016) article on ways to engage with collaborative publishing. Lucero presents a Facebook discussion amongst practitioners denouncing the limited power of practitioners in shaping academic discourse. It shows how social media can serve as a platform for inviting the practitioner’s voice into research. The authors illustrate that by using Facebook, practitioners’ unfamiliarity and discomfort with academic standards can be bypassed. It demonstrates metalogue as a conceptual form of writing that disrupts the structure of conversations and challenges the authorial researchers’ voices. A critical note, however, is whether it is beneficial in the long term to consider the academic and social media parts as separate accounts. We argue that collaborative publishing requires collaborative research and writing in the first place. In response to the article, we started a WhatsApp conversation. This enabled us to reflect on the content of the article and experience the use of social media as a collaborative writing method ourselves.

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.582
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.122
GPT teacher head0.411
Teacher spread0.289 · 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
GenreReview

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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