Dreaming the Canadian Dream: citizenship pathways and migration influencers in 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 article explores how Filipino migration influencers mediate aspiring immigrants’ pursuit of Canada’s complex and ever-evolving citizenship pathways. Through content analysis of 25 YouTube channels, it reveals how influencers promote the Canadian Dream as attainable but risky goal requiring personal and professional sacrifices. These influencers draw on their migration experiences to serve as essential resources, guiding their viewers through citizenship’s gates toward legal, sociocultural and economic integration well before embarking on their journeys. However, by normalizing extreme downward mobility as a necessary immigrant bargain to achieve a better life for their families and children, migration influencers risk reinforcing the subordinated status of Filipino workers in Canada’s segmented labor market. This article contributes to migration scholarship by identifying influencers as digital migration intermediaries and highlighting the need to rethink how advancements in ICTs are transforming how citizenship pathways are navigated today.
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 | 0.000 | 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 | 0.001 | 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