A “Strong” Approach to Sustainability Literacy: Embodied Ecology and Media
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.
Bibliographic record
Abstract
This article outlines a “strong” theoretical approach to sustainability literacy, building on an earlier definition of strong and weak environmental literacy (Stables and Bishop 2001). The argument builds upon a specific semiotic approach to educational philosophy (sometimes called edusemiotics), to which these authors have been contributing. Here, we highlight how a view of learning that centers on embodied and multimodal communication invites bridging biosemiotics with critical media literacy, in pursuit of a strong, integrated sustainability literacy. The need for such a construal of literacy can be observed in recent scholarship on embodied cognition, education, media and bio/eco-semiotics. By (1) construing the environment as semiosic (Umwelt), and (2) replacing the notion of text with model, we develop a theory of literacy that understands learning as embodied/environmental in/across any mediality. As such, digital and multimedia learning are deemed to rest on environmental and embodied affordances. The notions of semiotic resources and affordances are also defined from these perspectives. We propose that a biosemiotics-informed approach to literacy, connecting both eco- and critical-media literacy, accompanies a much broader scope of meaning-making than has been the case in literacy studies so far.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it