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Record W4415292553 · doi:10.1080/03043797.2025.2572022

‘Mixed feelings’ and emotional dissonance: how students navigate ritual and emotion in Canadian engineering culture

2025· article· en· W4415292553 on OpenAlexaffabout
Kari Zacharias, Janna Rosales, R. Paul, Edmund Martin Nolan

Bibliographic record

VenueEuropean Journal of Engineering Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsYork UniversityUniversity of WinnipegUniversity of TorontoUniversity of CalgaryMemorial University of NewfoundlandUniversity of Manitoba
Fundersnot available
KeywordsEngineering educationQualitative researchHigher educationGraduate students

Abstract

fetched live from OpenAlex

The Ritual of the Calling of the Engineer is a 100-year-old tradition in Canadian engineering, and the ‘iron ring’ is an emotionally resonant cultural symbol for many engineers. The ritual, its origins, and its place in engineering culture have been topics of recent public debate. In this paper, we analyse engineering students’ reflections on a classroom exercise that encouraged critical thinking around the ritual. Using Hochschild’s ‘feeling rules’ and framed by Durkheim and Collins’ conceptualizations of rituals, we identify collective understandings held by students about how one should feel about the ritual, as well as students’ emotional reactions to the classroom exercise. We find students shared strong collective understandings of the ritual but had a range of emotional responses to critical questions about it. We argue that this case demonstrates both the power of professional socialisation to establish feeling rules, and the prospects and challenges for individuals’ participation in (re)making them.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0170.024
Scholarly communication0.0100.002
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.287
Teacher spread0.277 · 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.

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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Same venueEuropean Journal of Engineering EducationSame topicEmotional Labor in ProfessionsFrench-language works237,207