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Record W4409098029 · doi:10.24018/ejedu.2025.6.2.933

Voices of Introverted CYC Students: A Course-Based Qualitative Inquiry into the Lived Experiences of Introverted Students in the Classroom and the Field

2024· article· en· W4409098029 on OpenAlexaff
Bronwyn DeGiano, Nathaniel Demas, Breanna Zendran, Gerard Bellefeuille, Mary-Ann Pasula-Kelly

Bibliographic record

VenueEuropean Journal of Education and Pedagogy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsMacEwan University
Fundersnot available
KeywordsCourse (navigation)PsychologyMathematics educationQualitative researchField (mathematics)PedagogySociologySocial scienceEngineeringMathematics

Abstract

fetched live from OpenAlex

This qualitative course-based study explored the lived experiences of introverted child and youth care (CYC) students in the classroom and the field of practice. An interpretive research paradigm was chosen to guide the research design, as this is aligned with the ontological underpinnings of relational-centered CYC practice, which holds the view that multiple realities and perspectives exist and that these are shaped by experiences and contexts. A nonprobability purposive sampling strategy was used to recruit undergraduate CYC students at MacEwan University who self-identified as “introverts.” A data-collection triangulation method was employed, with semi-structured face-to-face and remote interviews and a focus-group conversation. A reflective thematic analysis revealed six significant themes uncovering underlying meanings, concepts, and patterns within the datasets for the three questions posed to participants: a) shyness, b) low social battery, c) comfortable spending time alone and having quiet time, d) quiet energy is my superpower, e) beyond small-talk, and f) honoring my quietness.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 head0.064
GPT teacher head0.490
Teacher spread0.426 · 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 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
Published2024
Admission routes1
Has abstractyes

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