<i>Psalms Book 2: An Earth Bible Commentary: “As a Doe Groans”</i>. By <scp>Arthur Walker-Jones</scp>
Bibliographic record
Abstract
This book is a breath of fresh air amongst psalm commentaries! It is refreshing and engaging and places a fascinating new angle on the Psalms, book 2 (Psalms 42–72). It is an ecological ‘reading’ and perspective, but it specifically also uses insights from zooarchaeology, paleoanthropology, and animal studies to illuminate hidden aspects of these psalms. Although older scholarly findings such as genre or Sitz im Leben are mentioned briefly, the focus is to draw out the imagery in the psalms that comes from the natural and animal world, not simply as passing imagery but as a major focus of the study. Whilst the perspective from the point of view of Earth (as subject) is aired (along with Skies and Seas), as is the manner of the Earth Bible Commentary series, there is a much richer engagement than simply with ecological concerns in the emphasis on animal imagery and animal husbandry, ancient and modern. I learnt so much about the ways of animals from sheep to deer to elephants, and about the key relationships between humans and these animals—indeed about the interconnectedness of all species including humans, amongst them indigenous people. Biological, anthropological, and cultural studies are also represented. The wider modern context of species extinction and catastrophic climate change is also on the agenda with the ethical issues that arise, as well as a postcolonial perspective from an author who lives and works in Canada.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.070 | 0.024 |
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".