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Record W2024538809 · doi:10.4300/jgme-d-13-00042.1

Scholarly Mentorship and Publication: An Innovative Approach for Female Psychiatry Residents

2013· article· en· W2024538809 on OpenAlexaff
Ana Hategan, James A. Bourgeois, Daniel K. Tisi

Bibliographic record

VenueJournal of Graduate Medical Education · 2013
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
Fundersnot available
KeywordsMentorshipMedical educationPublishingMedicinePsychologyFamily medicinePolitical science

Abstract

fetched live from OpenAlex

Female physicians have remained proportionately poorly represented in the research academic track.1 Opportunities for female residents to have an impact on the future of academic research may be considerable if early developmental characteristics are identified in a timely way.We offered mentoring for female residents in an academic psychiatry department at McMaster University, a 5-year postgraduate training program, where research activities are not a requirement. Consecutively enrolled third-year female residents (n = 5), who underwent their 2-month core inpatient psychiatry rotation, were assigned to the same female faculty supervisor. This pilot project was conducted during a 12-month period starting August 2011. Women were asked the same question exploring their research interest: “Would you be interested in conducting a scholarly project during your current rotation, in which you will receive mentorship while you hold the first authorship position?” Four of 5 participants expressed motivation. Subsequently, all 4 participants have since become successful in publishing research articles (n = 1), case reports (n = 2), and letters to the editor (n = 1) to various high-quality peer-reviewed journals. An anonymous, electronic survey was sent to and completed by all those who successfully published to assess the perceived value of the mentoring project. We also analyzed research attitudes prior to and following outcomes of successful participation in scholarly activities; level of interest and research experience prior to and during residency; educational background; and factors that increased or decreased desirability of research, rather than the number of projects per resident. For 3 of 4 participants, the presence of at least one prior research residency experience and interest in and/or prior graduate degree were predictive of whether the subject would either be a published author or be active in current research.In line with previous literature,2 mentorship in research was important to all our participants; however, 2 subjects did not have a preference for whether the mentor was male or female, only 2 held a prior graduate degree, and 1 affirmatively changed her opinion regarding pursuing an academic career after publication. As also shown in our findings, most residents find it difficult to conduct research because of various constraints3 (eg, patient care, lack of financial support, dedicated office space, and lack of support staff with biostatistics expertise). Dedicated mentoring faculty members with allowed protected time to administer, teach, and evaluate all research components may also need to be considered.This strategy of scholarly mentorship appeared to be successful in the short term. Further evaluation of measurable outcomes will be necessary to fully determine their true impact. There are clear limitations to any interpretations deriving from such a small sample limited to one department in one institution; however, it does raise questions about women's research training in an academic program. It is evident that specific research mentoring is desirable during residency to facilitate the eventual research and academic success of academic female physicians. The authors advocate for more studies to explore the impact of exposure to early research mentorship.

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)0.004
metaresearch head score (Gemma)0.083
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.083
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.214
GPT teacher head0.471
Teacher spread0.257 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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