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Record W4375949991 · doi:10.1080/09640568.2023.2197140

“Got to get ourselves back to the garden”: Sustainability transformations and the power of positive environmental communication

2023· article· en· W4375949991 on OpenAlex
Tema Milstein, Cathy Sherry, John Carr, Maggie Siebert

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.

Bibliographic record

VenueJournal of Environmental Planning and Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsGrassrootsSustainabilitySociologyPoliticsPower (physics)Work (physics)Environmental ethicsPublic relationsPolitical scienceEngineeringEcology

Abstract

fetched live from OpenAlex

As places that disrupt “business as usual,” community food gardens carry the potential to experientially, critically, and restoratively recenter food systems and interconnected sustainability knowledges. Using interdisciplinary theory and practice-based observation, we zero in on the environmental planning and management space of the university campus to interpret how food gardens may not only materially change the campus landscape at a grassroots level but also act as constitutive forms of positive environmental communication. In doing so, food gardens may help realign the environmental premises of the university. At a time when universities have pressing leadership roles in rethinking the ecocultural, political, and economic dimensions of sustainable transformations of life as a whole, we illustrate how the creation of food gardens on all campuses might meaningfully and relationally reconnect university communities with the land where they work, learn, and teach, and, in the process, experientially promote ecocentric identities and empower change-making.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.009
GPT teacher head0.291
Teacher spread0.282 · 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