Coming Home: Connecting Older Liberians in the Diaspora with the Family and Friends at Home
Bibliographic record
Abstract
Coming Home is an arts initiative that uses photography and film to connect older Liberians in the Diaspora with friends and family at home. A group of elders in Staten Island came together to create messages for the author to carry to friends and family in Liberia. The author delivered the messages, filmed responses, and returned them to the Staten Island community. The project will culminate in a multimedia exhibit featuring the stories, photos, and films. The author used components of Photovoice, a participatory action research strategy, and Social Network Theory as well a resilience framework to guide the arts initiative. In this article the author describes the process of developing and implementing this project with Liberian elders in the New York Diaspora and discusses the ways in which its methodological approaches amplify the voices of community elders, address their culture and values, and raise public awareness about their special needs.
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How this classification was reachedexpand
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 | 0.005 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".