Families’ Emotion Work in Transnational Settings: The Case of Military Families
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Combining literature on transnational families, migrant workers, and expatriates, I suggest a reconceptualization of military service personnel’s labour during overseas deployment as transnational. Further, I argue that during deployments, military families are thus transnational families who experience unique issues related to their geographical separation. To illustrate this, I explore the way in which military families access information and communications technology in order to maintain relationships across geographical distances, emphasizing the emotional labour of military service personnel and their families. I conclude that conceiving of military service personnel as transnational labourers enables a more nuanced understanding of transnational labour in the context of globalization, one which acknowledges a “grey area” between an ideological dichotomy that places poor manual labourers from developing countries (migrants) in contrast to rich knowledge workers from developed countries (expatriates) with little recognition of the diversity of transnational lives in between.
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.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it