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Record W318231564 · doi:10.20429/ijsotl.2012.060222

Influencing Student Beliefs About the Role of the Civil Engineer in Society

2012· article· en· W318231564 on OpenAlexaff
Susan Nesbit, Robert Sianchuk, Jolanta Aleksejūnienė, Rebecca Kindiak

Bibliographic record

VenueInternational Journal for the Scholarship of Teaching and Learning · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPerspective (graphical)Value (mathematics)Service-learningQuality (philosophy)Work (physics)Civil societyService (business)Civil serviceEngineering ethicsKnowledge managementPsychologyEngineeringPedagogyPublic relationsPolitical scienceComputer sciencePublic serviceBusinessEpistemology

Abstract

fetched live from OpenAlex

This study suggests that community service learning experiences facilitate the reconstruction of civil engineering student beliefs about both the type of work performed by civil engineers and the broad impact of civil engineering knowledge. Further, the service learning experiences highlight for students 1) the importance of relationships between people, 2) the value of variations in perspective, and 3) the responsibilities of civil engineers in society as holders of expert knowledge. Meta-cognitive and self-regulated learning activities may be the mechanisms by which student beliefs evolve during service learning. Therefore, the quality of community service learning experiences may be enhanced by increasing the opportunities for students to articulate and organize their knowledge, critique their perspectives, compare and contrast their understanding with the understanding of others, and engaged in activities requiring knowledge integration.

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)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.029
GPT teacher head0.354
Teacher spread0.326 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

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Same venueInternational Journal for the Scholarship of Teaching and LearningSame topicService-Learning and Community EngagementFrench-language works237,207