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Professionalism: Moving towards a 360° anatomy education

2018· article· en· W3173997094 on OpenAlexaff
Timothy D. Wilson, Snježana Linkeš, Rick D. Ezekiel

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsWestern University
Fundersnot available
KeywordsContext (archaeology)ApprehensionClass (philosophy)Set (abstract data type)InstitutionScope (computer science)Medical educationPedagogyPsychologyHigher educationMedicineSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Context Higher education, in particular graduate education, is undergoing expansion in multiple dimensions. On one hand the need to specialize and carve one's research niche remains a required primary focus of many research intensive institutions. Concurrently however, the ability of these institutions to host newly minted doctoral students as de novo faculty is stagnant. This paradoxical squeeze has forced students, supervisors, and institutions to garner resources to look beyond the classical pathways to success for graduates. One of the primary methods by which student career focus is broadened is through graduate programs that validate, value, and develop skills of professionalism. By expanding student competencies beyond their tacit laboratory skills, students explore alternate career paths, heighten their presence in their immediate fields of research, find a greater sense of satisfaction, and less apprehension as they complete their studies. But how is professionalism achieved? Often, the scope and context of many professional comportments fall outside the skill set of supervisors and graduate program requirements leaving students to fend for themselves. The current study explores student attitudes surrounding some aspects of professionalism as they attend a required class within an anatomical program where none of the outcomes are anatomically related. Instead, the class explores topics of grantspersonship, writing for success, reading critically, debating powerfully, and giving great presentations. One important aspect of the course is a 6‐week module in collaboration with the institution's Student Success Centre (SSC). In this module, career counsellors lead the class without professor present enabling robust and candid discussions about the students' next steps. Results Over the past 4 years MSc students (n=31) in the Clinical Anatomy program gave informed consent to study their responses to multiple reaction evaluations to professionalism activities during their time with SSC counsellors. Through surveys inspecting attitudes before and after professionalism activities, significant and positive enhancements in attitude were discovered. We found that four of six attitudes were positively influenced. These include Career Optimism (p<0.05), Need for Career Information (p<0.01), Networking (p<0.01), and Interview Anxiety (p<0.01). Two of the components of the reaction evaluation were not significantly influenced, Career Exploration (p=0.328) and Personality Inspection (p=0.183). Next Steps The results demonstrate how through ancillary but important tweaks to student outcomes in a anatomical curriculum, major changes in attitude can be achieved. Whether the measured changes in attitude translate into behavioural changes that affect career trajectory and success is yet to be determined. The next step in this research will be to conduct post‐graduate surveys in order to determine if and how these career professionalism formation activities translated into better career manifestations of success. Longer term goals will explore how program specific courses in professionalism dovetail effectively with institutionally‐driven endeavours to serve the needs of students in the fast‐changing landscape of future careers. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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