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Record W2053812378 · doi:10.3163/1536-5050.96.1.58

Sustainable collaboration for community outreach: lessons from the Spanish Access to Literature/Uso Directo (SALUD) project

2008· article· en· W2053812378 on OpenAlexaff
Kristin Hitchcock, Kristina Appelt

Bibliographic record

VenueJournal of the Medical Library Association JMLA · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsCanadian Patient Safety InstituteChildren's Hospital of Eastern Ontario
FundersUniversity of Illinois at Urbana-Champaign
KeywordsOutreachCurriculumSustainabilityMedical educationPublic relationsCommunity healthCommunity engagementPublic healthSociologyPolitical scienceMedicineBusinessNursingPedagogy

Abstract

fetched live from OpenAlex

Table 1 Spanish Access to Literature/Uso Directo (SALUD) Public Health Information Pilot Project objectives 1. Develop a cadre of community health nursing students who are knowledgeable in accessing and evaluating health education materials and who would use and share these skills in practice in the community 2. Develop a pilot project, based on the needs assessment, to increase patient health education by improving access to quality reading-level and language-appropriate materials in two Chicago Department of Public Health public health clinics serving inner-city, low-income, predominately Latino populations 3. Increase access to and knowledge about quality health information resources for health care practitioners working in two inner city clinics Sustainable collaboration for community outreach: lessons from the Spanish Access to Literature/Uso Directo (SALUD) project

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)0.018
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0050.004
Open science0.0030.011
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.153
GPT teacher head0.494
Teacher spread0.340 · 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.

Study designQualitative
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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

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