Review of Daniel P. Scheid, The Cosmic Common Good . Oxford University Press, 2016. 248 pages
Bibliographic record
Abstract
Earth was moderately cooler last year, but not by much 1 .2017, additionally, was a year of record-breaking disasters for the United States.These disasters included devastating California wildfires, a trio of hurricanes, hail, flooding, drought, and various tornadoes costing over $200 billion 2 -further fanning the flame over the politically polarizing (and 'heated') debate on "global warming".Despite the minute difference in temperature last year, the last four years are the hottest in recorded history-a period now spanning 138 years.3 Thus, the meticulous and captivating work done by Daniel Scheid in his new book, The Cosmic Common Good, could not be timelier.His cosmo-centric perspective underscores the urgent necessity for an inter-religious collaboration in the development of a common ecological ethics that is mutually beneficialnot only for religious adherents across the world, but also nonhuman creatures and creations that span the cosmos.Daniel Scheid confesses the perspective of Catholicism, specifically Catholicism's social teaching and social thought, to approach social issues regarding an imperilled earth's needs.He creates a suitablenon-anthropocentric-framework that broaches, as well as answers, basic questions of humanity's role on earth and in the cosmos, and the value of nonhuman creatures.He places the ecological crisis in context both globally and locally, accepting that "human products and lifestyle choices could fundamentally alter the patterns of life for nonhuman creatures" (1), and insisting that there is no ethical issue that is more pressing and interconnected in our modern world than climate change.For this reason, Scheid argues that theological traditions have a pivotal role to play in the discussion of climate change that now transcends specialized scientists and spans academic disciplines.For the crisis is not merely a policy failure, an economic conundrum, or our inability to develop more advanced
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.019 |
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".