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Record W1820063639

Teaching a 'Humanistic' Science: Reflections on Interdisciplinary Course Design at the Post-Secondary Level

2011· article· en· W1820063639 on OpenAlex
Marcia Jenneth Epstein

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCourse (navigation)HumanismMathematics educationPedagogyHumanistic educationEngineering ethicsPsychologySociologyEngineeringPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

Development of post-secondary curriculum in emerging interdisciplinary fields presents particular challenges in course design and resource utilization, especially when the field is interdisciplinary by nature of its inherent breadth. A new course at the University of Calgary, designed to introduce undergraduate students to the methods and philosophy of Acoustic Ecology --- the study of sound and its effects on health, cognition and culture -- exemplifies both the challenges and some practical solutions. Following a brief history of the concept and its philosophy, a summary and critique is presented from the first offering of the course as a pilot project. Conclusions drawn include the necessity of an integrative approach to interdisciplinary fields of study that are true 'interdisciplines', the utility of experiential fieldwork, and the advantages presented by a student group with diverse academic backgrounds.

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)0.017
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.001
Scholarly communication0.0040.005
Open science0.0090.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.000

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 head0.699
GPT teacher head0.675
Teacher spread0.024 · 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