Book Review: <i>Transformative Sustainability Education: Reimagining Our Future</i> by Lange, E. A. LangeE. A. (2023). Transformative Sustainability Education: Reimagining Our Future. Taylor & Francis. 468 pp. eBook ISBN 9781003159643. https://doi.org/10.4324/9781003159643
Bibliographic record
Abstract
These essays show BIPOC women surviving the disrespect, sabotage, and violence, refusing to contort themselves in order to fit inhospitable institutions.The writers push back, create community, make a way.In "Tenure with a Termination Letter," Penelope Espinoza articulates this well: "I suppose I found that I was someone who dared to challenge the president.[…] The importance of asking questions has become a moral of my story.Questions can be instruments of change.When you confront those in power with informed, reasoned questions, you have the potential to provoke responsive action" (p.37).At the end of Presumed Incompetent, I find myself hoping the "right White people" will read it, the more-than-allies people who can take it in, recognize their own complacency or complicity, the harm of their inaction.These readers can talk about and share this book with white folks who are still unable to hear BIPOC voices.This latter group of white folks shut down when BIPOC raise concerns, but some can learn in between-us conversations with white peers.So I want good white readers.Lots of them.I want these essays to be mandatory reading for faculty, staff, and students.Everyone who will be engaged in dismantling racist systems that undergird academia needs the same information.Everyone, even those standing in opposition, needs to do the same groundwork, have the same vocabulary, so the conversation can begin from a common starting point.All of us who teach, organize with teachers, offer professional development with teachers should read this book and look inward.Are we perpetuating this violence?Are we acting as gatekeepers with students and peers?How can we use the experiences from this book to investigate and transform our own practices?How do we take what we learn from these women and change what comes next?Finally, I want BIPOC women to read this book, to run up on this statement: "Just know that a Black woman with a terminal degree has likely dealt with a lifetime of microagressions at every educational and professional level, and she has persisted in the face of and in spite of them" (p 242).It's from Marica Allen Owens' essay, "Closet Chair and Committee Side Piece."I want them to read it as a calling in, an affirmation.We have passed this way before you.You're on the right road.You can make it.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.093 | 0.074 |
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".