Imagining Winnipeg: The translocal meaning making of Filipino migrants to Canada
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
This study examines how, in the words of Appadurai, “locality emerges in a global world” (Appadurai, 1996, p.18). Specifically, it articulates the nature of information practices in the lives of 14 newcomers to Canada who have migrated from the Philippines to the medium‐size city of Winnipeg. Using a qualitative and exploratory approach, this study applies a transnational lens to this area of research to make explicit the detailed activities and outcomes of newcomer information practices, in particular drawing out the dimensions and implications of newcomers' participation within and across local and global social networks, translocal information landscapes, and across their settlement trajectories. The result is a Translocal Meaning Making process that describes how newcomers come to make sense and use information across distinct and sometimes contradictory information spaces. Our findings suggest that migrant information practices shift across space and time and are constituted both individually, through cognitive and affective processes, and socially, through shared imaginaries, through interactions within and across translocal information landscapes, and through complex deterritorialized networks of people and resources.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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