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Providing library resources to 37 medical students at eight remote sites across 2600 km

2006· article· en· W2170630960 on OpenAlexaboutno aff
Simon Lewis, Harriet Denz‐Penhey, Jamie Murdoch

Bibliographic record

VenueThe Australian Library Journal · 2006
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedMetropolitan areaQuarter (Canadian coin)Government (linguistics)The InternetMedical educationInternet accessLibrary scienceGeographyBusinessPolitical scienceMedicineComputer scienceWorld Wide WebArchaeology

Abstract

fetched live from OpenAlex

The University of Western Australia’s Rural Clinical School was set up to train a quarter of the medical students for a full year in rural and remote Western Australia. These students need full access to the resources of the medical library so that they are not disadvantaged in comparison to metropolitan students. Setting up library access for small numbers of students across eight sites separated by thousands of kilometres comes with its own set of difficulties. Broadband internet allows access to journals and online books and selected books are provided for each site. Government, Faculty and School policy has facilitated this by ensuring financial resources are available to follow the students.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0120.002
Scholarly communication0.0030.001
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.009

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 head0.023
GPT teacher head0.323
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2006
Admission routes1
Has abstractyes

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