Exploring the Initial Period of Settlement Among Immigrant Women Experiencing Intersectional Barriers in Toronto Through a Photovoice Project
Bibliographic record
Abstract
Numerous women embark on migration journeys, driven by aspirations to secure enhanced opportunities for themselves and their families. However, they often encounter significant impediments due to intersecting systems of oppression related to gender, race, immigration status, and other social dimensions. This study aims to elucidate the experiences of immigrant women during their initial settlement period. Employing Community-Based Participatory Research and Arts-Based Research approaches, the research used the photovoice method, with collages and storytelling, to explore the experiences of twenty immigrant women. Grounded in an intersectional feminist framework, this thesis presents findings based on visual and narrative data gathered from a creative empowerment program at Newcomer Women Services Toronto. Three predominant themes emerged: (1) pre-migration expectations and post-migration realities, (2) welcome and reception of settlement support, and (3) barriers experienced during initial settlement. The study offers a detailed examination of a range of experiences, both positive and adversarial, that immigrant women navigate throughout their migration journey. The research implications include recognizing the holistic needs of newcomers and providing a comprehensive support system to foster a more inclusive and equitable experience.
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.
How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.013 | 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 teacher head, 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".