Adaptation of Venezuelan refugees in Colombia: The mediating roles of acculturation orientations in influencing acculturation adaptations
Bibliographic record
Abstract
As of 2021, over 5.4 million Venezuelans have fled their home country in search of safety, food, medicine and access to essential services. This is the most substantial exodus in the recent history of Latin America. Colombia has received 2 million of these refugees, making it the nation host to the greatest number of Venezuelan refugees. The present research aims to examine the relations between the sociocultural and psychological factors that are associated with Psychological Adaptation of Venezuelan refugees living in Colombia. We also examined how these relations were mediated by the acculturation orientations. Among Venezuelan refugees, higher Psychological Strength, lower Perceived Discrimination, higher National Identity and higher Outgroup Social Support, were significantly associated with higher engagement with Colombian society and better Psychological Adaptation. Orientation to the host (Colombian) society mediated the association between (a) National Identity and Psychological Adaptation, (b) Outgroup Social Support and Psychological Adaptation and (c) Perceived Discrimination and Psychological Adaptation. The results may inform refugee receiving societies of some essential factors and positive strategies behind adaptation of refugees.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".