Our curious silence about kindness in planning: Challenges of addressing vulnerability and suffering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Discussions of “justice” in planning are commonplace; discussions of “kindness,” strangely enough, are rare. Perhaps not by accident. Taking “compassion” as an empathetic, intentional orientation toward suffering, we analyze “kindness” as the situated action of compassion that requires—following and extending analysis of Martha Nussbaum—four contingent, contextually sensitive practical judgments: (1) empathetic recognition of another’s vulnerability or suffering; (2) causal/moral gauging of the sources of that vulnerability or suffering; (3) crafting of acts to mitigate that vulnerability/suffering, and (4) forming the motivation to respond practically to that Other’s situation. Diverse planning cases from Cleveland, the Canadian Yukon, and Australia illuminate these practical judgments. We show how these contingent judgments can go wrong and thereby produce not kindness but humiliation, shame and victim blaming, pity and condescension, or dependency not autonomy. In doing so, the article makes a fresh contribution toward analyzing the moral requirements of, and the risks faced in, any planning seeking to respond to others’ vulnerabilities and suffering.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it