Archivos en línea : formatos de difusión de información archivística en Internet
Bibliographic record
Abstract
The development of Internet during the Nineties and their application to all the scopes of the Information Science, the documentation and the archivist has supposed a radical change in the procedures of information dissemination. Although in Spain the archives that offer information through Internet are few, in other countries they are numerous and the type of information which they offer is varied. In order to analyze the type of information which they can offer the archives through Internet it has chosen a country that counts in line on an elevated number of archives and with a high degree of uniformity in the archivist work: Canada. The study is divided in two parts. In the first place the informative elements are analyzed on the content of the documents that are offered through Internet and the structure in which they appear, considering their adjustment to the used norms of description in Canada, the Rules for the Document Description of Archives. Secondly two specific projects of information dissemination through the network, the British Columbia Archival List Union and the Canadian Network of Archivist Information are described (CAIN/RCIA)
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.013 | 0.018 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.020 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".