Exploring "Soul of a Nation": Disorienting Dilemmas of "Good White Women".
Bibliographic record
Abstract
Soul of a Nation: Art in the Age of Black Power is an exhibition of American black artists from the 1960s through 1980s. Originally developed by the Tate Modern in London, the exhibit traveled to Crystal Bridges Museum of American Art in Bentonville, Arkansas, USA in early 2018. When we visited the exhibition we intended to study how women were represented. Instead we found the experience disturbing and disorienting. We were taken aback by the way the artists incorporated and owned images that we associated with racism, slavery, and segregation. As white, middle-class women from the American south, we felt ill-equipped to formulate an opinion or even to identify the emotions we experienced. We experienced mutual cognitive dissonance, causing us to re-evaluate our ideas and biases related to race. This essay describes our transformative learning in facing and confronting our white privilege and rethinking our attitudes and perceptions of race. Keywords: transformative learning, informal learning, museum, white privilege, adult education
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.037 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".