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.
Bibliographic record
Abstract
The PREMIS Implementation Fair Series is for anyone with some knowledge of PREMIS who might be planning or is<br> already involved in a PREMIS implementation. The first fair took place on October 7 2009 in San Francisco, California, USA, immediately following iPres 2009. This record contains the original annoucement and agenda as well as all presentations and a brief summary report.<br> In detail, the files contained within this dataset are: Agenda and Invitation<br> <em>00_Agenda_PREMIS_Implementation_Fair_2009.pdf</em> Summary of the event<em><br> 00_Summary_PREMISImplementationFair_2009.pdf</em> Status of PREMIS (Brian Lavoie, OCLC)<br> <em>01_stateofPREMIS.ppt</em> Implementation in METS (Rebecca Guenther, LC)<br> <em>02_premis-mets-pif.ppt</em> PREMIS in METS Toolkit (Francesco Lazzarino, FCLA)<br> <em>03_PIM_presentation.pdf</em> Hub and Spoke Framework Tool Suite (Bill Ingram, UIUC)<br> <em>04_hands_premis_fair.pdf</em> Statistics New Zealand PREMIS tool (Euan Cochrane)<br> <em>05_PREMISfair-Euan_Cochrane.ppt</em> Rosetta (Yair Brama, Ex Libris)<br> <em>06_PREMIS_Implementation_Fair-brama.ppt</em> DAITSS (Priscilla Caplan, FCLA)<br> <em>07_PREMIS_and_DAITSS.ppt</em> Discussion of potential changes to the PREMIS data model using Events in Portico as an exmaple (Priscilla Caplan and Evan Owens)<br> <em>08_PREMIS_Data_Model.ppt </em>09_Portico_PREMIS_Workshop.ppt Case Studies: PREMIS Rights implementation at University of California San Diego (Bradley Westbrook, UCSD) <em>10_PREMISimpWorkshop09-UCSD.ppt</em> Implementation in Italy (Angela Di Iorio, Fondazione Rinascimento Digitale) <em>11_AngelaDiIorio_PREMIS_Implementation_Fair.ppt 12_ARTAT_PREMIS_SEMANTIC_UNITS_ROADMAP.xls</em> PREMIS for geospatial data (Nancy Hoebelheinrich)<br> <em>13_PREMIS_ImplementFairnjh.ppt</em> Towards Interoperable Preservation Repositories (TIPR) project (Priscilla Caplan, FCLA) <em>14_PREMIS_in_TIPR.ppt</em> National Library of Finland digitized monographs incl. PREMIS in Mets example (Karo Salminen and Jukka Kervinen, National Library of Finland)<br> <em>15_premis_implementation_at_NLF.ppt<br> 16_mono_v0_53_modified_for_dt.xml</em> PREMIS Implementation at the British Library (Markus Enders) <em>17_Premis_at_the_British_Library.ppt</em> Conformance: New PREMIS conformance statement (Brian Lovoie, OCLC)<br> <em>18_premisConformance.ppt</em> Controlled vocabularies, Library of Congress' Authorities & Vocabularies service (Rebecca Guenther, LC)<br> <em>19_controlled-vocabs-pif.ppt</em>
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 it