“He Never Wants to Leave. I Would Leave in a Second.” Examining Perceptions of Rural Life and its Impact on Families who Migrate for Employment and Those who Stay Behind in Atlantic Canadian Communities
Bibliographic record
Abstract
In Canada, interprovincial labor migration is a common form of mobile work that is significant for rural communities especially in Atlantic Canada. Unique to this form of labor migration is the gendered nature of the phenomenon resulting in men often leaving their wives, families and rural communities behind for employment opportunities in the oil and gas sectors thousands of kilometers away. As men leave their families and communities for employment, women who are left behind become primary caregivers to children in addition to also being the primary caretakers of the family home. The Tale of Two Islands project was a multi-year, cross regional mixed methods research study that examined labor mobility and its impact on families and communities. This paper examines how labor migration has impacted families and rural communities. Drawing upon focus group, conversational and key informant interviews with families impacted by mobile labor and practitioners who serve them, societal perceptions of gendered norms and perceptions of rural life became illuminated. This has contributed to multiple contradictions and role confusion as families adapt and adjust to periods of reunification and separation while striving to remain connected to their rural communities. Men yearn for opportunities to be an active member of their home communities but cannot a result of living away for extended periods of time. In contrast, women who stay behind in rural communities often chose to isolate from community activities as a result of perceived judgments that are attributed to traditional views of rural life and family roles.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".