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Record W2290145180 · doi:10.1097/acm.0000000000000742

The Effect of an Intense Mentoring Program on Junior Investigators’ Preparation for a Patient-Oriented Clinical Research Career

2015· article· en· W2290145180 on OpenAlexaboutno aff
Linda J. Burns, Charles Clayton, James N. George, Beverly S. Mitchell, Scott D. Gitlin

Bibliographic record

VenueAcademic Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

PROBLEM: There is a recognized need to translate scientific discoveries to patient-oriented clinical research (POCR). Several obstacles interfere with the successful recruitment and retention of physicians for POCR careers. APPROACH: The American Society of Hematology developed a yearlong educational and mentoring experience, the Clinical Research Training Institute (CRTI), for early-career physician-scientists from multiple institutions throughout the United States and Canada pursuing POCR careers. Several academic outcome measures of the 140 participants in the first seven years (2003-2010) of CRTI were evaluated by reviewing former trainee participants' curriculum vitae and survey responses. OUTCOMES: Ethnic, racial, and gender diversity of CRTI trainees was reflective of the proportions represented across U.S. hematology/oncology fellowship programs. Eighty-six percent (109/126) of trainees reported success establishing a POCR study; nearly half (62/126) had primarily research-focused jobs. Former CRTI trainees received at least 262 external grant awards and published 1,035 peer-reviewed manuscripts, 173 chapters, and 115 review articles. NEXT STEPS: Because mentorship is key to developing a successful career, the CRTI program is being modified to enhance longitudinal mentorship by CRTI faculty mentors and mentors at trainees' home institutions, as well as to encourage the establishment of collaborations and the potential for research project success. Efforts to make the CRTI experience available to more phy sicians, include more CRTI graduates as faculty, and increase participation by hematologists from backgrounds under represented in medicine are under way.

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)0.031
metaresearch head score (Gemma)0.335
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.335
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.489
GPT teacher head0.618
Teacher spread0.129 · 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
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

Citations36
Published2015
Admission routes1
Has abstractyes

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