Empowered Mothering & Employment: A Study of Employed Myanmar Diasporic Mothers in Greater Toronto Area
Bibliographic record
Abstract
My research study focuses on empowered mothering and employment in relation to first-generation migrant women from Myanmar (Burma) who have relocated to Canada. Specifically, I investigate how employed Myanmar diasporic mothers construct their own accounts of good mothering via the perspectives of empowerment and resistance in relation to the challenges associated with motherhood in the Canadian host country through the lenses of two feminist theories: maternal theory and feminist mothering theory. My investigation is based on a review of relevant works of maternal theorists and feminist migration scholars who explore the lived complexities of migrant mothers within the context of South East Asian migration to Western countries, as well as conducting a qualitative survey interview with eight employed Myanmar Diasporic mothers in the Greater Toronto Area (GTA). My study has two main objectives: Firstly, it examines the experiences of employed mothers from Myanmar in the GTA who seek to challenge normative motherhood and the patriarchal culture of the sending country via an engagement with empowered mothering. Secondly, my findings will contribute to existing literature on motherhood studies by providing an overall caregiving narrative that focuses on the minority of employed Myanmar diasporic mothers who have been under-researched with regard to their perceptions of successful motherhood. To this end, I argue that the sociocultural constructions of motherhood that are embedded in patriarchal society do not preclude attempts of migrant mothers to actualize power/agency via creative mothering ideologies and practices despite the crossing of borders and continents.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".