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Record W3110794916 · doi:10.54590/pop.2020.005

Foundations for the Canadian Humanities and Social Sciences Commons: Exploring the Possibilities of Digital Research Communities

2020· article· en· W3110794916 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 · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsCommonsDigital humanitiesGeneral partnershipScholarshipDigital scholarshipPolitical scienceLibrary sciencePublishingPublic relationsSituatedSociologyComputer science

Abstract

fetched live from OpenAlex

This paper introduces the Canadian Humanities and Social Sciences (HSS) Commons, an open online space where Canadian HSS researchers and stakeholders can gather to share information and resources, make connections, and build community. Situated at the intersection of the fields of digital scholarship, open access, digital humanities, and social knowledge creation, the Canadian HSS Commons is being developed as part of a research program investigating how a not-for-profit, community-partnership research commons could benefit the HSS community in Canada. This paper considers an intellectual foundation for conceptualizing the commons, its potential benefits, and its role in the Canadian scholarly publishing ecosystem; it explores how the Canadian HSS Commons’ open, community-based platform complements existing research infrastructure serving the Canadian HSS research community.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.007
Scholarly communication0.0130.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.878
GPT teacher head0.448
Teacher spread0.430 · 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