Perceived discrimination in leisure settings in Latino urban communities
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
This study explored: (1) whether Latino residents of two highly segregated neighbourhoods in Chicago, IL, USA, experienced or witnessed any discriminatory incidents in leisure settings; (2) what were the most frequent places and types of discrimination they encountered; (3) who were the perpetrators of discriminatory acts and (4) how people responded to discrimination. Moreover, Latinos own interracial/interethnic attitudes toward members of other ethnic/racial groups were examined. Data were collected with the use of surveys and focus groups. The results suggest perceived discrimination is an important constraint on recreation behaviour among Latino urban residents. The findings revealed that Latinos most often experienced discrimination from African Americans and Whites visiting the parks, as well as from law enforcement officers. Verbal harassment from other recreationists, being stopped and searched by police and being denied a service or being given substandard service were named most often as the types of discrimination. Survey respondents indicated that they responded to discrimination by visiting the locations with a group of people or by notifying the police, whereas focus groups participants suggested withdrawal was the most often employed tactic. The findings also suggested a disconnect between Latinos' interracial/interethnic attitudes at the individual and group levels. Although the interviewees reported having positive to neutral interracial/interethnic attitudes, they were willing to acknowledge the existence of prejudicial attitudes among Latinos at the group level.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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