Looking through the lens: a photovoice study examining access to services for newcomer children
Bibliographic record
Abstract
PURPOSE: Canadian new immigrant families (also known as newcomers) encounter challenges navigating systems when trying to access programmes critical for their children's healthy development. The purpose of this study is to understand how newcomer families find and use early childhood programmes and services from the perspective of families and early childhood educators (ECEs) working within a settlement organization. METHODS: = 6) participated in a series of virtual workshops to share photos and reflect on their experiences. RESULTS: Participants discussed the systemic barriers that obstructed newcomer families' access to services for young newcomer children. Financial challenges due to unemployment/underemployment, language and cultural differences were emphasized. Despite these barriers and challenges, participants shared how culturally responsive programmes enhanced their connections to programmes and services. Both groups of participants discussed the critical role of social networks in supporting newcomers to use programmes by helping families become aware of available services and assistance with various processes such as registration. CONCLUSIONS: This research illustrates the lived experiences of newcomer families and identifies opportunities to address inequities, improve early childhood programmes, and enhance families' access to programmes and services.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".