3 Immobility: The Immobile Pattern of Mobility
Bibliographic record
Abstract
Immobility: The Immobile Pattern of MobilityThe three narratives I will analyze in this section serve as illustrations of the social phenomenon of the pattern of immobility.I understand immobility as sedentariness after migration.The life stories will instruct us as to the ways in which individuals are immobile during their life courses and will inform us of those biographical constellations and experiences that led to this immobility.As for any kind of social phenomenon, the post-migration experiences of immobility are not homogeneous.In my respondents' stories immobility appears in various forms.I will analyze the narratives of Anja, Sandra and Janusz.In doing so, I will provide various interpretations of these stories, which all tell us something about the construction of immobility experiences in their post-migratory lives.We shall see what kinds of discourses dominate their narratives and the kinds of sociological insights they provide.The discourses and experiences, inherent in my respondents' narratives, can only be adequately understood when we contextualize them.Anja's case includes the typical features of living a sedentary life after migration, yet it is at the same time exceptional for the way she negotiates her heritage and host cultures, and this can only be understood in the Canadian context of Toronto.Sandra's life story is absolutely typical for the German context; it is therefore all the more important to analyze her narrative in-depth as many other life stories are certainly similar (yet not the same)-even if her biography includes particularities that, again, we could not make sense of if we had not taken the German context into consideration.The last case to be discussed in this chapter is (one part) of the life story of Janusz.His life story is important because his mobility practices change over time, making him shift from one pattern to another and thus analyzing his life story sheds light on two mobility practices.As a result, we will see what significant role the context plays: the respondents incorporate the national discourses of their (host) countries with its subse-
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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 | 0.003 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".