Bibliographic record
Abstract
Stan Rowe is a retired ecology teacher, professor emeritus at the University of Saskatchewan, and is interested in Earth-human relationships and especially ecospheric ethics. Author of the book Home Place and of numerous essays published in The Structurist, he lives happily in the mountainous terrain of New Denver, British Columbia. “Living Earth ” means that Earth is the carrier of the vitalizing essence or animating principle here capitalized as “Life ” to differentiate it from “life ” as traditionally associated with organic things alone. Planet Earth exhibits cyclic processes of organic construction known as “aliveness” and of inorganic/organic deconstruction named “deadness, ” and the various states or phases of these closely integrated processes have developed within and dependently on Earth’s air-water-land ecosystems—named “geoecosystems ” because they are place-specific. Thus Earth, the Ecosphere, and its sectoral geoecosystems—resembling mega-terrariums and mega-aquariums with all their organic/inorganic contents—have from the beginning of time been the evolutionary source and purveyors of Life. Metaphorical language has equated life only with organisms. Ecological knowledge, by revealing the importance of context, shows that Earth is synonymous with Life in its l d i d of e tic i i
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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.049 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 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".