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The Cunningham Fellowship: three international points of view*

2001· article· en· W3028301676 on OpenAlexaboutno aff
Donna Flake, Anita Verhoeven, Ioana Robu

Bibliographic record

VenueHealth Information & Libraries Journal · 2001
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedical libraryLibrary scienceRound tableWork (physics)Medical educationMedicineComputer scienceEngineeringSession (web analytics)World Wide Web

Abstract

fetched live from OpenAlex

Abstract The Medical Library Association Cunningham Fellowship Program provides funds for one medical librarian per year from outside the United States or Canada to work and learn in United States or Canadian medical libraries for a period of 4 months. An overview of the Cunningham Fellowship is presented from three different points of view—that of a Medical Library Association member who has worked closely with the Cunningham Fellowship programme, and two former Cunningham Fellows. Anita Verhoeven, who relates her impressions of American culture, architecture and art, was the 1998 MLA Cuningham Fellow and visited 33 libraries, met 171 librarians, visited prestigious universities and attended a Medical Library Association meeting. Ioana Robu, the 1997 Cunningham Fellow, visited 15 libraries in 13 cities during her experience. She describes the process of applying for the fellowship and assesses the impact that the 1997 Cunningham Fellowship has made on her life, her library and medical librarianship in Romania. An overview of the Cunningham Fellowship is also given, which includes the history, the application process, the requirements of the fellowship and the time table of the fellowship.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.655
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.332
Teacher spread0.305 · 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 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

Citations0
Published2001
Admission routes1
Has abstractyes

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