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Record W7001249208

Improvements in Research Orientation and Reductions in Barriers to Research Utilization among Undergraduate Students in Health Sciences

2018· article· en· W7001249208 on OpenAlexaboutno aff

Bibliographic record

VenueJMU Scholoraly Commons (James Madison University) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsScale (ratio)Orientation (vector space)Undergraduate researchResearch designBiomedical sciencesSurvey researchPostgraduate research
DOInot available

Abstract

fetched live from OpenAlex

Purpose: Developing research skills while improving research orientation among undergraduate students may increase evidence-based practice later in their professional careers. Method: Undergraduate Health Science students (n=241) participated in a pretest-posttest design to determine the impact of a course that includes team-based, student initiated research projects completed within one semester. Modified versions of the Edmonton Research Orientation Survey (EROS) and the Barriers to Research Utilization Scale (BARRIERS) were completed at the beginning and end of the semesters. Results: Students reported gains in six research skills and improvements in two of the Edmonton Research Orientation Survey subscales: involvement in research and evidence-based practice. Students reported reductions in all four Barriers to Research Utilization Scale subscales: adopter, organization, innovation, and communication. Conclusion: Improvements in research orientation and reductions in perceived barriers due to high-impact learning activities may eventually facilitate evidence-based practice.

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.014
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.403
GPT teacher head0.590
Teacher spread0.186 · 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 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
Published2018
Admission routes1
Has abstractyes

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