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Record W2016226048 · doi:10.3390/su6031521

A Tale of Two (or More) Sustainabilities: A Q Methodology Study of University Professors’ Perspectives on Sustainable Universities

2014· article· en· W2016226048 on OpenAlexafffundabout
Paul Sylvestre, Tarah Wright, Kate Sherren

Bibliographic record

VenueSustainability · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsViewpointsSustainabilityHigher educationSociologyLiberal arts educationSustainable developmentIdentity (music)Frame (networking)Relation (database)Rank (graph theory)Engineering ethicsPublic relationsPedagogyPolitical scienceEngineeringComputer scienceLaw

Abstract

fetched live from OpenAlex

If change for sustainability in higher education is to be effective, change efforts must be sensitive to the institutional culture in which they will be applied. Therefore, gaining insight into how institutional stakeholders engage with the concept of sustainable universities is an important first step in understanding how to frame and communicate change. This study employed Q methodology to explore how a group of professors conceptualize sustainable universities. We developed a Q sample of 46 statements comprising common conceptions of sustainable universities and had 26 professors from Dalhousie University rank-order them over a quasi-normal distribution. Our analysis uncovered four statistically significant viewpoints amongst the participants: ranging from technocentric optimists who stress the importance of imbuing students with skills and values to more liberal arts minded faculty suspicious of the potential of sustainability to instrumentalize the university. An examination of how these viewpoints interact on a subjective level revealed a rotating series of alignments and antagonisms in relation to themes traditionally associated with sustainable universities and broader themes associated with the identity of the university in contemporary society. Finally, we conclude by discussing the potential implications that the nature of these alignments and antagonisms may hold for developing a culturally sensitive vision of a sustainable university.

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)0.010
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science 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 score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.042
GPT teacher head0.401
Teacher spread0.359 · 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 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

Citations23
Published2014
Admission routes3
Has abstractyes

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