Not Turning away: Climate Change and the Tools of Good Works
Bibliographic record
Abstract
Not Turning away: Climate Change and the Tools of Good Works Jacqueline Sanchez-Small O.S.B. (bio) Jacqueline Sanchez-Small Jacqueline Sanchez-Small, O.S.B., made first monastic profession as a Benedictine Sister of Erie, PA in November 2021. In addition to her ministry at Benetvision, which promotes contemporary feminist spirituality, she is active with Benedictines for Peace, and with her community's Care for the Earth Committee. Footnotes 1. Prol 15. All citations from the Rule are from Timothy Fry, et al. ed., RB 1980: The Rule of St. Benedict in Latin and English with Notes (Collegeville, MN: Liturgical Press, 1981). 2. This term, of uncertain origin, is discussed at length in Jason M. Brown, "Dwelling in the Wilderness: Place, Landscape and the Sacred among Catholic Monks in the American West," (PhD diss., University of British Columbia, 2017), 130–180, https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0357237. Brown offers a very illuminating exploration of the implications of monastic spirituality for land management. He traces the phrase "lovers of the place" to the twelfth-century Cistercian document Exordium Parvum. 3. David King and Deborah Finch, "The Effects of Climate Change on Terrestrial Birds of North America," U.S. Department of Agriculture, Forest Service, Climate Change Resource Center (June 2013), https://www.fs.usda.gov/ccrc/topics/effects-climate-change-terrestrial-birds-north-america. 4. Kim Cuddington, et al., "Probability of Emerald Ash Borer Impact for Canadian Cities and North America: A Mechanistic Model," Biological Invasions (2018); DOI: 10.1007/s10530-018-1725-0. 5. Peter J. Jacques; "A General Theory of Climate Denial," Global Environmental Politics 12, no. 2 (May 2012): 9–17. 6. The poll was carried out by the Associated Press-NORC Center for Public Affairs Research and the Energy Policy Institute at the University of Chicago, https://www.newsweek.com/10-percent-americans-dont-believe-climate-change-15-percent-unsure-poll-1642747. 7. H.-O. Pörtner, et al, "IPCC, 2022: Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change" (Cambridge, UK: Cambridge University Press), DOI:10.1017/9781009325844. 8. Linda Thunström, Klaas Veld, Jason Shogren, and Jonas Nordström, "On Strategic Ignorance of Environmental Harm and Social Norms," Revue d'économie politique 124 (2013): 195–214. 9. Rebecca Solnit, "Big Oil Coined 'Carbon Footprints' to Blame Us for Their Greed. Keep Them on the Hook," The Guardian, August 23, 2021, https://www.theguardian.com/commentisfree/2021/aug/23/big-oil-coined-carbon-footprints-to-blame-us-for-their-greed-keep-them-on-the-hook. 10. P. R. Shukla, et al., "IPCC, 2019: Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems." In press. 11. Joshua Goldstein, "Individual Actions Can't Solve Climate Change," June 6, 2019, https://www.aspeninstitute.org/blog-posts/individual-actions-cant-solve-climate-change/. 12. Michael J. Polonsky, Stacy Landreth Grau, and Romana Garma, "The New Greenwash?: Potential Marketing Problems with Carbon Offsets," International Journal of Business Studies 18, no. 1 (2010): 49–54. 13. Kevin Anderson, "The Inconvenient Truth of Carbon Offsets," Nature 484, no. 7 (April 2012). 14. Thomas A. Lyons and A. Wren Montgomery, "The Means and End of Greenwash," Review of the Literature on Organizations and Natural Environment 28, no. 2 (March 2015). 15. "Each year hundreds of millions of tons of waste are generated, much of it non-biodegradable, highly toxic and radioactive, from homes and businesses, from construction and demolition sites, from clinical, electronic and industrial sources. The earth, our home, is beginning to look more and more like an immense pile of filth…. These problems are closely linked to a throwaway culture which affects the excluded just as it quickly reduces things to rubbish." Pope Francis, Laudato Si' (Vatican City: Vatican Press, 2015), secs. 21 and 22. 16. Stefanie Spears, "What Is Biochar?" https://regenerationinternational.org/2018/05/16/what-is-biochar/. 17. Joan Chittister, The Rule of Benedict: Insights for the Ages (New York, NY: Crossroad Publishing, 1992), 51. 18. Georg Holzherr, The...
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".