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Record W2899805011 · doi:10.1080/00220272.2018.1542030

Students’ relationships to knowledges, place identity and agency concerning the St. Lawrence river

2018· article· en· W2899805011 on OpenAlex

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

VenueJournal of Curriculum Studies · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversité du Québec à Rimouski
FundersUniversité de MontpellierAgence Nationale de la Recherche
KeywordsAgency (philosophy)Environmental educationSociologyCurriculumEducation for sustainable developmentIdentity (music)Perspective (graphical)Transformational leadershipSustainable developmentPedagogyEnvironmental ethicsPublic relationsSocial sciencePolitical science

Abstract

fetched live from OpenAlex

Our study is framed according to a transformational-sociocritical approach to an education for sustainable development (ESD) that, in particular, considers landscapes as learning contexts of potential use for fostering engagement in the areas of environmental protection and sustainable development. In keeping with this perspective, we surveyed students aged 16–17 years from the Lower St. Lawrence region (Quebec, Canada) concerning their knowledge and perceptions of issues pertaining to the St. Lawrence, the river facing them on an everyday basis, and about their role as citizens in that connection. In respect of theoretical considerations, we propose developing the concepts of relationships to knowledge, place identity and agency. An analysis of questionnaires (N=334) has served to: bring out the learnings and issues pertaining to the St. Lawrence River that students consider to be meaningful; characterise the various identity-centred relationships with this landscape; and define the eco-civic agency of the students surveyed. The results of this analysis then provide a basis for some proposals for an ESD curriculum relating to the St. Lawrence River that is rooted in students’ concerns. While the environmental issues dealt with occur locally, the potential transfer of results into other curricula and educational contexts is also discussed.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.042
GPT teacher head0.342
Teacher spread0.299 · 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