Bibliographic record
Abstract
Immigrant mothers, who are socially constructed as an isolated group of people, are often excluded from the studies of adult learners. In adult education, few studies focus on immigrant mothers’ ways of learning, mothering, and knowing. Based on a critical ethnographical study, this article sheds lights on immigrant mothers’ learning in a foreign land. It unveils how immigrant mothers learn mothering skills and how their lifelong learning practice interacts with the ideology of mothering in contemporary neoliberal contexts. The data come from a 2-year critical ethnographic study that included 30 in-depth interviews with Chinese immigrant mothers in a Vancouver-based immigration settlement organization in Canada. The following five types of immigrant mothers’ lifelong learning practices are examined and analyzed: (a) learning parenting skills, (b) learning to find a job, (c) learning language, (d) learning to drive, and (e) learning to live a healthy lifestyle. This article argues that immigrant mothers’ lifelong learning practice constitutes a mechanism, one in which the ideology of mothering and immigrant mothers’ everyday learning and mothering deeply interact to reproduce race, gender, and class relations. This article concludes that there is a need to study immigrant mothers, as adult learners, and to reexamine knowledge systems, ideologies, and people’s different ways of knowing and learning in adult education.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 0.003 |
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".