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Record W2138920268

Digitalizzazione e linguaggi di marcatura

2012· article· it· W2138920268 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.

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

VenueBollettino AIB (1992-2012) · 2012
Typearticle
Languageit
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDigitizationWorld Wide WebComputer scienceSGMLXMLStyle sheetInformation technologyKnowledge managementData scienceDocument Structure Description
DOInot available

Abstract

fetched live from OpenAlex

The Digital Library is - above all - a very favourable opportunity to enrich, in different ways, the knowledge and professional skills: librarians should not miss this chance. In fact, the digitization projects ask for project management skills, awareness of new technologies and related costs, interaction with professionals belonging to different fields, and, last but not least, ability to attract adequate funds. Furthemore, the partnership with some dynamic companies belonging to the information technology area can deeply change the working style and practices in the libraries. On the descriptive ground, the article does not survey some momentous subjects of digital libraries (e.g. copyright and digital resources preservation) because it focuses only on a specific topic: the comparative analysis between technologies, costs and outcomes of capture of digital images and capture (or creation) of digital texts. When the collection is made up of textual documents rich of informative contents, it should be endeavoured to get an electronic text, because it's a good investment in the long term. At present, satisfactory results are achievable through ICR and fuzzy searching software. But the final aim of a digitization project, for such collections, should be to get a structured text, and the structure should be a logical and permanent one. The article explains the main features of SGML standard and the more recent advances, especially the innovative attributes of XML. This new metalanguage, born in the middle of Web explosion, drag into the Web the SGML ability to transport information. This feature should arise the interest of information professionals and librarians. XML electronic documents can suit very well preservation and access requirements. Furthemore, they hold a cardinal position in the Web of the future: in this forthcoming environment, structured texts, jontly with metadata, will play a key-role in the exploitation of searching functions. HTML and PDF are probably bound to fall into decline in the semantic Web. This tendencies can be surveyed into the documents of the web standards community , especially the W3C metadata activity. The author refers about experiences and research in the field of SGML/XML application to digitization projects. In particular, he refers about the Electronic Text Centers activity, underlining the role of library community within an interdisciplinary model. In some countries like US, UK, and Canada text encoding already is a part of librarians skills. But it is important to remark that this is a natural evolution (and enrichment) of cataloging skills and methodology. What should be required is the accurate knowledge of the markup languages and the ability to write DTDs (Document Type Definitions), not only a generic awareness of the subject. The ability to typify is quite similar to cataloguing skills, and a good typification cannot lack the experience of the information intermediaries. The computer programmers need the interaction with information specialists to capture the logical structure of the text and therefore to give a better design to the whole information system. XML, together with metadata, represents the ground of an interdisciplinary activity, and a chance for librarians to play a dynamic role into the digital environment.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0030.031
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.012

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 head0.021
GPT teacher head0.237
Teacher spread0.216 · 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