MétaCan
Menu
Back to cohort
Record W1987518843 · doi:10.7556/jaoa.2013.007

A Research Primer: Basic Guidelines for the Novice Researcher

2013· article· en· W1987518843 on OpenAlex
Grace D. Brannan, Jane Z. Dumsha, David Yens

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Osteopathic Medicine · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsHeritage College
FundersAmerican Association of Colleges of Osteopathic Medicine
KeywordsTerminologyConsistency (knowledge bases)Medical educationHealth carePsychologyAlternative medicineOsteopathic medicine in the United StatesMedicineComputer sciencePathology

Abstract

fetched live from OpenAlex

Research can achieve many objectives, primarily by establishing a supportable, verifiable basis for clinical decisions. An evidence-based practice can streamline patient care, improving safety through consistency of care and making health care more affordable for patients. By cultivating research skills, osteopathic physicians and trainees can begin to forge a reciprocal relationship with medical literature and current findings, approaching research as active contributors as well as consumers. Many challenges, however, potentially hinder osteopathic physicians, residents, or medical students who wish to develop research skills. In the present article, the authors summarize research concepts and terminology that will enable novice researchers to interact effectively with more experienced researchers, statisticians, and methodologists.

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.

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)0.064
metaresearch head score (Gemma)0.062
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0640.062
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.649
GPT teacher head0.652
Teacher spread0.003 · 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