Self‐initiated expatriation and self‐initiated expatriates
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
Purpose This paper aims to move towards clarification of the self‐initiated expatriate/expatriation construct with the aim of extending and deepening theory development in the field. Design/methodology/approach Drawing on Suddaby's think piece on construct clarity, this paper applies his proposed four elements; definitional clarity, scope conditions, relationships between constructs and coherence, in order to clarify the SIE construct. Findings The discussion examines the “problem of definition” and its impact on SIE scholarship. The spatial, temporal and value‐laden constraints that must be considered by SIE scholars are expounded, and the links between SIE research and career theory are developed. From this, potential research agendas are proposed. Research limitations/implications This is a conceptual piece which, rather than giving precise research data, encourages further thinking in the field. Originality/value Although the definitional difficulties of SIEs have been identified in previous literature, this is the first attempt to clarify the boundaries of SIE and its interconnectedness with other related constructs.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 0.001 |
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