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Record W1965319796 · doi:10.3163/1559-9439.97.1.e1

Proceedings, 108th Annual Meeting Medical Library Association, Inc. Chicago, IL May 16–21, 2008

2009· article· en· W1965319796 on OpenAlexfundno aff
Frances H. Lynch, Rachel Walden

Bibliographic record

VenueJournal of the Medical Library Association JMLA · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
FundersQuillen College of Medicine, East Tennessee State UniversityFeinberg School of MedicineUniversity of Illinois at Urbana-ChampaignNational Institutes of HealthIdaho State UniversityUniversity of North TexasHealth Sciences Centre FoundationGeorgetown UniversityEast Tennessee State UniversityLouisiana State UniversityU.S. National Library of MedicineUniversity of PittsburghSaint Louis UniversityTexas Woman's UniversityUniversity of WashingtonNorthwestern UniversityUniversity of MiamiUniversity of MissouriWashington University in St. LouisYale UniversityU.S. Department of Veterans AffairsMassachusetts Institute of TechnologyMcKnight FoundationUniversity of Wisconsin-MadisonUniversity of ConnecticutKaiser PermanenteUniversity of Southern California
KeywordsLibrary scienceMedical libraryAttendanceTheme (computing)Section (typography)World Wide WebBridging (networking)Computer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Thompson extended their welcomes to the group. They noted the new features being piloted at the 2008 meeting: doing community service projects, making the meeting more ''green,'' and reaching out to connect with members who could not attend by sponsoring wireless communications for bloggers and webcasting the last plenary session on ''Web 2.0 Tools for Librarians.'' They recognized and thanked the members of the NPC, the LAC, MLA headquarters, and the program planners. The LAC chairs, Mr. Shedlock and Ms. Frank, also welcomed everyone and thanked their committee members and volunteers. Ms. Frank emphasized that attendees ''can't live on meetings alone'' and

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)0.013
metaresearch head score (Gemma)0.045
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0020.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.022
GPT teacher head0.371
Teacher spread0.349 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

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