Community-Led Cancer Action Councils in Queens, New York: Process Evaluation of an Innovative Partnership With the Queens Library System
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
INTRODUCTION: Community-based participatory research (CBPR) has great potential to address cancer disparities, particularly in racially and ethnically diverse and underserved neighborhoods. The objective of this study was to conduct a process evaluation of an innovative academic-community partnership, Queens Library HealthLink, which aimed to reduce cancer disparities through neighborhood groups (Cancer Action Councils) that convened in public libraries in Queens, New York. METHODS: We used a mixed-methods approach to conduct 69 telephone survey interviews and 4 focus groups (15 participants) with Cancer Action Council members. We used 4 performance criteria to inform data collection: action or attention to sustainability, library support for the council, social cohesion and group leadership, and activity level. Focus group transcripts were independently coded and cross-checked for consensus until saturation was achieved. RESULTS: Members reported benefits and barriers to participation. Thirty-three original focus group transcript codes were organized into 8 main themes related to member experiences: 1) library as a needed resource, 2) library as a reputable and nondenominational institution, 3) value of library staff, 4) need for a HealthLink specialist, 5) generation of ideas and coordination of tasks, 6) participation challenges, 7) use of community connections, and 8) collaboration for sustainability. CONCLUSION: In response to the process evaluation, Cancer Action Council members and HealthLink staff incorporated member suggestions to improve council sustainability. The councils merged to increase intercouncil collaboration, and institutional changes were made in funding to sustain a HealthLink specialist beyond the grant period.
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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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