Facebook and WhatsApp as Elements in Transnational Care Chains for the Trinidadian Diaspora
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
Despite being separated by great geographical distances, the Trinidadian Diaspora community has managed to stay in regular communication with those back “home” using the latest available technologies. Trinidadian migrants living abroad have established multi-directional care chains with family, kin, and friends that have endured for decades. This social connection has evolved from letter writing, telegrams, telephones, emails, and most recently, internet-based social media which includes: Facebook, WhatsApp, Skype, Facetime, Snapchat, Twitter, and Google Hangout. This paper examines how social media, focusing on Facebook and WhatsApp, are tools being used by the Trinidadian Diaspora to provide transnational care-giving to family and friends kin left behind in the “home” country and beyond. The analysis is based on the results of two online Qualtrics surveys, one implemented in 2012 (n = 150) and another in 2015 (n = 100) of Trinidadian Diaspora participants and in-depth interviews with (n = 10) Canadian-Trinidadians. This paper explores how social media have become a virtual transnational bridge that connects the Trinidadian Diaspora across long distances and provides family members with a feeling of psychological well-being.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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