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Record W1746657824

Kurser i grundläggande forskningsmetodik till nytta för kliniker. Tolv års erfarenheter från Sydsverige

2002· article· en· W1746657824 on OpenAlexaff
Anders Håkansson, Eva Lindberg, Karin Henriksson

Bibliographic record

VenueLund University Publications (Lund University) · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsMedical educationPsychologyMedicineNursing
DOInot available

Abstract

fetched live from OpenAlex

At the Department of Community Medicine at Lund University we have given courses in basic research methodology since 1989. The course has yielded 20 points of university credit, the equivalent of one full-time semester of studies, and it has been run part-time, covering one and a half years. Our aim has been to provide a large number of physicians with basic training in research methods, and to stimulate the engagement of new scientific students from the whole Southern Health Care Re-gion. During the first ten years, 138 general practitioners (20% of the GPs of the region) and 202 specialists completed our courses. Up till now, 19 GPs (14%) and 19 specialists (9%) have begun PhD studies. During the last two years, another 100 physicians from southern Sweden have attended our courses, as well as GPs from Zealand in Denmark. We have been developing our course in basic research methods during a twelve-year period, and it is now well established in our health care region. We feel that we have succeeded in reaching the two goals we had set up: to give a large number of physicians a fundamental knowledge of research meth-ods and to recruit and increase the number of PhD students. We believe that medical research and development must flourish also outside the traditional university settings.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.147
GPT teacher head0.358
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2002
Admission routes1
Has abstractyes

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