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Record W3128488591 · doi:10.54590/pop.2020.009

Public-Private Partnerships and the Digitization of the Textual and Cultural Record

2020· article· en· W3128488591 on OpenAlex
Tully Barnett

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.
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
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsDigitizationScholarshipGeneral partnershipPublic relationsDigital scholarshipSociologyPolitical scienceLibrary scienceLawEngineeringComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

A range of private-public partnerships, volunteer and crowdsourced labour, local, national, international and commercial agendas, and competing copyright systems intersect with the important but complicated project of digitization of the world's cultural material. These agendas are sometimes open, social, and collaborative (Edmond 2016; Liu 2016) but are also often closed, profit-driven, or sensitive agendas (Thylstrup 2019). This paper investigates a series of case studies of electronic access to books and cultural heritage, each incorporating some notion of a public-private partnership and some notion of the importance of open access agendas. It explores the metaphors that we use to conceptualize a form of open social scholarship based on an open social digitization agenda, including the HathiTrust’s Digital Library, Google Books, and Microsoft’s partnership with the British Library. The paper asks how the principles of open social scholarship contribute to a better and more nuanced understanding of digitization as a cultural practice and asks how a better understanding of the networks, partnerships, and paperwork (agreements, policies etc) of digitization could inform developments in open social scholarship. The public-private partnerships that surround the digitization of the cultural record assist underfunded cultural organizations to do important digitization work but also introduce complexities and contradictions in open social access to information. In addition, the mix of volunteer and crowdsourced labour operating in collaboration with cultural sector professional staff create intricate chains of value over time, space, and sector. The presence of large-scale corporations inside these arrangements has added another layer of complexity over time, and one that many public stakeholders are still struggling to navigate. The case studies examined here illuminate new facets of the large-scale international agenda of digitization at the social and cultural level and provide insight to help establish a framework for digitization that is open, social, and collaborative. The principles of open scholarship provide a useful first step in unpacking this.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.439
GPT teacher head0.362
Teacher spread0.077 · 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