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Long-term Access to Archival Materials That are Not in a Traditional Archives

2011· article· en· W4377837264 on OpenAlexaff
Nancy Marrelli

Bibliographic record

VenueArchiving Conference · 2011
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsConcordia University
Fundersnot available
KeywordsDialog boxIntellectual propertyLibrary scienceDisciplineAtlas (anatomy)Special collectionsTerm (time)SociologyVisual artsWorld Wide WebComputer sciencePolitical scienceArtLawSocial science

Abstract

fetched live from OpenAlex

This paper explores issues surrounding historical archive materials that are currently not housed in a conventional archive, using a case study of biomedical illustrations created for the textbook, Grant's Atlas of Anatomy. The paper explores the following issues:• Resolving intellectual property issues when a commercial publisher owns the copyright to archival materials with high research value;• Determining what are the archival copies - the original drawings or the digital copies and where both the originals and the digital copies should be housed;• Ensuring long-term sustainability for digital archival materials that are not housed in a traditional archives.Our multi-disciplinary research project team is seeking solutions that meet the needs of all the stakeholders while ensuring the drawings are available for current and future generations of researchers. The answers lie in creative dialog between the rightsholders, the medical illustrator creator community, researchers and archivists. For the Grant's Atlas illustrations, the dialogue has at least begun.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.223
GPT teacher head0.332
Teacher spread0.109 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2011
Admission routes1
Has abstractyes

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