Bibliographic record
Abstract
This solo exhibition of San Francisco Bay Area photographer Kirk Crippens documents the home foreclosure crisis of 2008 and 2009, with particular focus on Stockton, CA. Crippens explains that he chose Stockton as the subject of his Foreclosure, USA series in 2009 as it became a center of the housing foreclosure crisis in America: In the first quarter of 2009, one in every twenty-seven housing units in the area received a foreclosure notice, against a national rate of about one in one hundred and fifty-nine. Foreclosure, USA explores Stockton's foreclosed homes and the abruptly suspended housing developments in its hardest hit neighborhoods. It also documents the "foreclosure industry" and businesses affected by the housing crash. A city that twice received the All America City award from the National Civic League as it converted large tracts of farmland into "homes" can surely teach us much about truly sustainable development. It is hoped that the project will promote dialogue about sustainable economic growth in local communities everywhere and educate us about the real cost of the unquestioned American dream. In the last few years, Crippens has had solo exhibitions of his Foreclosure, USA series at the SFMOMA Artists Gallery and RayKo Photo Center in San Francisco, CA. They were both positively reviewed, including an interview on KALW radio for Cross Currents. Additionally, he was invited to speak at San Francisco PhotoAlliance, opening for John Pfahl. Crippens also won the Blue Earth Prize for Best Project Photography for his Foreclosure, USA series and was nominated for the Fleishhacker Foundation's Eureka Fellowship Program for 2011 - 2013.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.286 | 0.039 |
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".