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Record W2943712651 · doi:10.1177/2374289519846068

Life After Being a Pathology Department Chair III: Reflections on the “Afterlife”

2019· article· en· W2943712651 on OpenAlexaff
David N. Bailey, L. Maximilian Buja, Fred Gorstein, Avrum I. Gotlieb, Ralph Green, Agnes B. Kane, Mary F. Lipscomb, Fred Sanfilippo

Bibliographic record

VenueAcademic Pathology · 2019
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsService (business)Plan (archaeology)Executive directorMedical educationPosition (finance)PsychologyProgram directorManagementMedicineHistoryBusiness

Abstract

fetched live from OpenAlex

The Association of Pathology Chairs Senior Fellows Group provided reflections on activities that have kept them engaged and inspired after stepping down as chair. They offered advice to current chairs who were considering leaving their positions and also to individuals contemplating becoming pathology chairs. A majority (35/41) responded: 60% maintained teaching/mentoring activities; 43% engaged in hobbies; 40% took other administrative positions including deans, medical center chief executive officers, and residency program directors; 31% continued research; 28% wrote books; 20% performed community service; 14% led professional organizations; 14% developed specialized programs; 11% engaged in clinical service; and 11% performed entrepreneurial activities. Most individuals had several of these activities. One-third indicated that those considering becoming chair should be able to place faculty and department needs before their own. One-fourth emphasized the need to know why one wants to become chair, the need to develop clear goals, and the need to know what one wants to accomplish as chair before applying for and accepting the position. More than half (57%) indicated that before stepping down as chair, one should have a clear plan and/or professional goals that can be served by stepping down. Some even suggested that this be in place before applying for the chair. Almost two-thirds (63%) indicated they had no regrets stepping down as chair. These findings may be valuable to those contemplating stepping down from or stepping into any department chair position or other academic leadership role.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.358
Teacher spread0.329 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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