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Record W2887539101 · doi:10.7939/r34t1r

Toward a Cosmopolitan Minded Post-Secondary Ethics Education

2015· article· en· W2887539101 on OpenAlexaboutno aff
David Schmaus

Bibliographic record

VenueUniversity of Alberta Library · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsCosmopolitanismPolitical scienceSociologyEngineering ethicsLawEngineeringPolitics

Abstract

fetched live from OpenAlex

Tools to think about and interact with the emergence of new levels of interconnectivity and complexity in the post-secondary ethics classroom are necessary. The question explored in this study concerns what relevance cosmopolitanism has as an educational response to this need. Contemporary criticisms of classical cosmopolitanism are used to analyze ethics education in a Canadian polytechnic. One goal of cosmopolitan minded education is to help students struggle with the balance between obligations that result from particular circumstances and moral responsibility to the larger global community. A cosmopolitan theoretical framework is applied as both a research and pedagogical tool to be engaged in efforts to fulfill this goal. A qualitative case study method was used to examine how a cosmopolitan minded approach can be used to transform the learning contexts of ethics education in a Canadian polytechnic institute. Analysis of institutional, program, and course level documentation provided context and was enriched by data gathered through student focus groups as well as interviews with faculty and administration. General recommendations include the application of a pluriversal, dialogical process of learning that sees students engage in agonistic dialogue regarding the ethical question of what it means to live a good life and the moral question of what responsibilities this entails. The study reveals the regulatory nature of much applied ethics education and offers an alternative process as imagined through a cosmopolitan vantage point.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.041
GPT teacher head0.283
Teacher spread0.242 · 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.

Study designNot applicable
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

Citations1
Published2015
Admission routes1
Has abstractyes

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