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Record W7043154655

Sabbatical Report: Summary of Survey Results on Digital Preservation Practices at 148 Institutions

2013· article· en· W7043154655 on OpenAlexfundno aff

Bibliographic record

VenueScholarWorks@UMassAmherst (University of Massachusetts Amherst) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
FundersPlymouth State UniversityUniversity of Northern British ColumbiaOregon Health and Science UniversityUniversity of MontanaUniversity of South CarolinaIndiana University-Purdue University IndianapolisOhio State University
KeywordsDigital preservationStaffingPhonePresidential systemState (computer science)Survey research
DOInot available

Abstract

fetched live from OpenAlex

The purpose of my sabbatical project was to identify institutions with established digital preservation programs, and investigate how these programs were implemented. To accomplish this task, I conducted a web-based survey that looked into what systems were being used for digital preservation, what services were offered to the campus or user community, staffing and organizational models to support digital preservation programs, as well as the costs associated with these various digital preservation programs. I received a total of 148 responses to the survey. Of the 148 responses, 100 respondents finished the survey. To follow up from the survey, I conducted 12 phone interviews with librarians and archivists from various types of institutions. The digital preservation survey I conducted was sent out via several listservs, and I received responses from all types of institutions including national libraries, state libraries, academic libraries, public libraries, church and corporate archives, national parks archives, historical societies, research data centers, and presidential libraries. Roughly a third of the respondents were from large academic institutions with more than 20,000 students, another third were from smaller academic institutions with less than 20,000 students, and the remaining third were from non-academic institutions. The survey results and an annotated list of digital preservation systems and tools are also included as attachments to the report.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.600
Threshold uncertainty score1.000

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 communication0.0000.005
Open science0.0010.000
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 head0.097
GPT teacher head0.241
Teacher spread0.144 · 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
GenreEmpirical

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

Citations1
Published2013
Admission routes1
Has abstractyes

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