A Novel Framework for Inner-Outer Sustainability Assessment
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
Calls for systemic transformations have become prevalent throughout sustainability discourse. Increasingly, these calls point towards consciousness expanding practices and interventions, such as mindfulness, to support the development of individual understandings, skills, and capacities that are conducive to more sustainable ways of being and doing. The growing interest in leveraging inner capacities, including mindsets, worldviews, values, and beliefs for sustainability transformations emerges from concerns that conventional approaches are failing to align social and ecological systems towards long-term viability. Interest in these consciousness-driven transformations is spreading, particularly in governments and prominent organisations. Tempering this enthusiasm are concerns that untethered from moral and ethical guidelines as well as caring understanding of local and global prospects for lasting wellbeing, mindfulness programs, workshops, and interventions for inner transformation can inadvertently strengthen unsustainable systems and deepen inequities. Accordingly, this paper presents an exploratory assessment framework to increase understandings of how events focused on interventions for inner transformation align with broad sustainability requirements. Findings from application of the framework should help to elucidate how these offerings can disrupt normative ways of thinking and doing, and in turn, positively influence multi-scalar transformations. Furthermore, use of the assessment process to plan and/or evaluate inner development offerings is anticipated to help strengthen progress towards sustainability and reduce adverse trade-offs that might undermine positive systemic transformations.
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 | 0.002 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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