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Record W7139340900

“Becoming what I want to be”: A Grounded Theory of Professional Identity Development through Reflection and Relationships in Work-integrated Learning

2025· dissertation· W7139340900 on OpenAlexaffabout
Ainsley Skye Goldman

Bibliographic record

VenueTSpace (University of Toronto) · 2025
Typedissertation
Language
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdentity (music)Grounded theoryReflection (computer programming)CurriculumProfessional developmentPanacea (medicine)Identity formation
DOInot available

Abstract

fetched live from OpenAlex

Although work-integrated learning (WIL) has received considerable investment from the Canadian Government and is regarded as a panacea for incorporating students into the workforce, scholars have argued that more explicit curriculum and reflection related to professional identity development is needed. Reflection is well-established in WIL curriculum, predominantly through graded written reflection assignments, but there is preliminary evidence that assessed reflections may be performative. Using a constructivist grounded theory approach, drawing on semi-structured interviews with undergraduate WIL students and instructors and discourse analysis of students’ reflection assignments and course syllabi, this study addressed the question: How is professional identity developed through reflection in WIL curriculum? Through theoretical sampling, the importance of relationships in WIL emerged as a recurring pattern. Findings are reported across patterns of professional identity, reflection, and relationships. Students and instructors conceptualized professional identity as internal or external, and in follow-up interviews, students articulated professional identity as a merging of their internal personal identity with their more external professional one. Reflection played an important role in generating, deepening, and documenting learning, but students also curated their reflections by excluding or enhancing details. Students gave compelling examples of when they reflected dialogically through relationships, finding that sharing ideas with others without worrying about how their thoughts were being documented deepened their reflection. Relationships emerged as an essential part of students’ WIL experience and professional identity development. Their role in teaching and learning, trust and support, and being part of a community, as well as the absence of relationships spanned both course and workplace contexts. Based on the patterns emerging from the data, a theory of professional identity development through reflection and relationships in WIL curriculum is proposed. The theory is contextualized in the broader literatures of WIL, professional identity development, reflection, and relational approaches. While reflection is widely recognized as an essential part of WIL, it is argued that relationships also play a key role. Suggestions for application of the theory are explored to strengthen reflection and relationships in WIL. The study’s limitations are discussed, as well as possible directions for future study.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.037
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0070.047
Scholarly communication0.0120.012
Open science0.0040.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.366
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2025
Admission routes2
Has abstractyes

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