Kowalewski, J. (Ed). (2023). The Environmental Apocalypse: Interdisciplinary Reflections on the Climate Crisis. Routledge.
Bibliographic record
Abstract
I will not lie: reading this anthology was difficult.A part of that difficulty was due to the fact that reading about the concepts of ecological apocalypse after the summer of 2023 struck very close to home, as smoke from the wildfires across so-called Canada (Alook et.al., 2023, 2) choked the air even in southern Ontario, where the fires were not an immediate threat.That was (and still remains) a solastalgic experience.The term 'solastalgia' was coined by philosopher Glenn Albrecht in 2005 and it describes the lived experiences of environmental change that is negative, or, as he puts it in his article, a "form of homesickness one gets when one is still at 'home'" (Albrecht, 2005, 48).This collection brought that aspect to the forefront.However, a challenge with reading this book was that this collection is intentionally interdisciplinary, drawing from fields such as psychoanalysis and philosophy.As a result, the jargon in some essays is unfamiliar and I struggled at times.Despite the combination of these factors weighing heavily on me, the premise of the volume is compelling enough to take me through to the end.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.014 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.017 |
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".