Collaboration Through a Computer Screen: Migrant Integration Services and the Challenges of Co‐Producing Services Online
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
ABSTRACT In this article, I explore the impact of shifting from in‐person to online service delivery on individual and group modes of co‐production of migrant integration services during the COVID‐19 pandemic. The study adds to the literature concerning the effects of digital co‐production on social services that rely heavily on relational interactions to build trust. Using qualitative methods, the research explores how digitalisation affects four key elements: interaction, motivation and commitment, resources and skills, and empowerment and inclusion. While digital co‐production introduces new modes of interaction that may enhance inclusion in some types of individual co‐production, it poses significant challenges for all elements of group co‐production. The study concludes that while digital co‐production may offer some benefits, its application to highly relational services with vulnerable populations is often detrimental, questioning its desirability and effectiveness in such contexts.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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