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Record W2531243255 · doi:10.1080/03075079.2016.1231803

<i>Becoming</i> professional: examining how WIL students learn to construct and perform their professional identities

2016· article· en· W2531243255 on OpenAlex

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

VenueStudies in Higher Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInternshipConstruct (python library)Identity (music)Professional developmentPedagogyPsychologyProfessional studiesHigher educationProcess (computing)Professional learning communityPsychology of selfSociologyMathematics educationMedical educationSocial psychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Work-integrated learning programmes help students acquire professional acumen and provide opportunities for them to experiment with new aspects of self and identity. Twelve internship students were interviewed regarding their perspectives on how they think they learn about professionalism and the information sources they use. They describe how they renegotiate their identities in an effort to develop a professional image, yet try not to completely compromise their sense of self, a process that often creates a ‘divided self’. Dervin’s theory of sense-making provides a framework for examining the students’ struggle with professional identity development as they employ self-management and self-regulation to create and perform the role of the professional for others to see. The study findings highlight the importance of reflection for students struggling with constructing a professional self, and the role of professors and academic staff in creating spaces for students to experiment and try-on professional identities before they graduate.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.145
GPT teacher head0.450
Teacher spread0.305 · 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