An Ecological Theology of Liberation : Salvation and Political Ecology
Bibliographic record
Abstract
Catholic Press Association Book Award Honorable Mention Catholic Social Teaching \n"Here, in this global garden, we are all invited to continue to be an expression and parable of the Imago Dei as gardeners, carers and advocates of all creation as we become a concrete sign of the Kingdom of God here on Earth. The reading of the book is fluid, pleasant and carries the academic rigour necessary to be a widely read and used work in the academy." -- Paulo Ueti, Journal of Theology for Southern Africa \n"Castillo’s book is an important scholarly work that offers an attractive vision of a political ecology rooted in and fertilized by the creative wisdom of God." --Hilda P. Koster, Modern Theology, University of St. Michael’s College, University of Toronto \nWhat is the relationship between salvation, human liberation, and care for creation? To answer this question Daniel Castillo expands on the ideas presented in Gustavo Gutiérrez’s classic work A Theology of Liberation and proposes a novel concept: green liberation theology. In this compelling and original work Castillo places Gutiérrez in dialogue with a diverse array of theological, ecological, and socio-scientific discourses, drawing upon the work of Jon Sobrino, Willie James Jennings, Walter Brueggemann, Ellen Davis, and others, paying special attention to Pope Francis’ encyclical Laudato Si’.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".