Shifting Epistemologies, Shifting Our Stories—Where Might We Find Hope for a World on the Brink of Climate Catastrophe?
Bibliographic record
Abstract
In the early 1990s, David Orr wrote about the epistemological myths of North American culture, and offered ecological literacy as a form of resistance. In the same decade, Parker Palmer confronted dominant epistemologies in religious institutions, and retrieved early Christian frames by way of resistance. One was writing through the lens of environmental science, and one through the lens of the desert mothers and fathers of Christian history. Neither acknowledged the First Nations, Metis and Inuit epistemologies which offered similarly contesting frames. It may be too late, yet even in a moment of climate catastrophe there is hope that shifting our forms of knowing can invite pedagogical practices that transform our communities. This essay will articulate the congruence between these disparate and diverse stances as sacred ground within which to root embodied, theologically astute pedagogies for the 21st century. Several pragmatic exercises that have emerged as fruitful for learners seeking to embody compelling counter narratives are also offered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.053 |
| Scholarly communication | 0.017 | 0.034 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".