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Record W2756584945 · doi:10.3233/978-1-61499-769-6-293

Co-Constructing an Open and Collaborative Manifesto to Reclaim the Open Science Narrative

2017· book-chapter· en· W2756584945 on OpenAlex

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.

Bibliographic record

VenueIOS Press eBooks · 2017
Typebook-chapter
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsManifestoNarrativeSociologyArtPolitical scienceLiteratureLaw

Abstract

fetched live from OpenAlex

The OCSDNet Manifesto is a result of one year of participatory consultations and debates amongst members of the ‘Open and Collaborative Science in Development Network’ (OCSDNet), a network of 12 research-practitioner teams from Latin America, Africa, the Middle East and Asia. Through research projects grounded in diverse regions and disciplines, OCSDNet members explore the scope of Open Science as a transformative tool for development thinking and practice and offer the ‘Open and Collaborative Science Manifesto’ as a foundation upon which to reclaim the mainstream narrative about what Open Science means and how it can realise a more inclusive science in development. This paper describes the mechanisms used for collaboration and consensus building, and explores the ways in which the process of building this document serves as a case study for the opportunities and limitations of integrating collaboration, opportunities for participation and openness into research activities.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesScholarly communication, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0540.030
Open science0.0380.031
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.204
GPT teacher head0.435
Teacher spread0.231 · 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