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Record W4308246561 · doi:10.54590/pop.2022.003

Open, Collaborative Commons: Web3, Blockchain, and Next Steps for the Canadian Humanities and Social Sciences Commons

2022· article· en· W4308246561 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePop! Public Open Participatory · 2022
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCommonsScholarshipOutreachBlockchainCommercializationDigital humanitiesPolitical scienceCorporate governanceAccountabilityThe InternetPublic relationsLibrary scienceBusinessWorld Wide WebComputer scienceComputer securityLaw

Abstract

fetched live from OpenAlex

This paper provides an update on the Canadian Humanities and Social Sciences (HSS) Commons, an in-development online hub for open social scholarship in Canada and beyond, and considers the next steps for the platform in an ever-evolving digital landscape. It outlines various recent outreach and engagement events intended to introduce the Canadian HSS Commons to the larger communities to which it belongs. Because the Canadian HSS Commons is committed to supporting the growth and evolving needs of these communities, this paper also considers how increasingly popular internet technologies such as Web3 and blockchain might play a part in the future of digital research infrastructure and the Canadian HSS Commons specifically. It concludes that while Web3 and blockchain currently raise important questions and concerns about governance, accountability, and commercialization, in the near future, these same technologies could also help engender new forms of functionality and participation on the Commons.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.001
Scholarly communication0.0330.015
Open science0.0080.013
Research integrity0.0000.000
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 head0.515
GPT teacher head0.441
Teacher spread0.074 · 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