Language-ing the Earth: Experiential Renewal for a Relationally Sensitive Environmentalism
Bibliographic record
Abstract
This paper investigates human relationship with the larger living landscape that is grounded in experiential renewal. Phenomenology is antithesis to the process of abstraction and objectification through which the world as we experience it is diminished by conceptualization and categorization. Recent studies to understand the natural world as a hermeneutic text offers important reflections on the human mediation of the meaning of the more-than-human-world and assists in understanding the implications of our encounters with the world. Phenomenology, however, is unique in its capacity to bring to expression, rather than silencing, our relationship with the natural world and our human inherency in it. This paper explores phenomenologically sensate reciprocity as it is encountered in lived experience. Through deepening our attunement for our embodied integration in a living world we may relearn and restore a capacity to dwell more thoughtfully with newfound sensitivity, respect, and restraint in the ecosystems on which we wholly depend.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.084 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".