Gratitude as a systems-wide values-based approach to enhance sustainable consumption choices
Bibliographic record
Abstract
What if the best approach to solve climate change were to emphasize an emotion felt by the majority of the population? Robin Wall Kimmerer’s Braiding Sweetgrass presents gratitude as a powerful emotion. This article is a deep theoretical exploration of gratitude, largely informed by Indigenous oral histories as presented by Kimmerer. The analysis shows gratitude as having the potential to serve as an emotional (rather than logical) catalyst for change in human consumption behaviours. Also explored is how gratitude can form a cyclical system interwoven with care, gifts, and reciprocity. Environmental activists have been seeking to enact change, largely through a wide-range of education-scoped efforts. Yet change doesn’t happen. This article argues that Indigenous wisdom on the practice and experience of gratitude offers a profoundly more satisfying approach to human relationships; both with nature and other humans. Ultimately gratitude, when more deeply experienced, seems capable of inspiring new programs of actions, education, and efforts to affect highly meaningful and engaging societal transformation towards greater ecological responsibility.
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 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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".