9 Grandma's Tale: Mind-Trips and Memories
Bibliographic record
Abstract
Grandma's Tale: Mind-Trips and MemoriesThe Jamaican women in this study have biographies that often involve several (migratory) moves throughout their own life or in their familial history.This chapter, therefore, addresses retrospective accounts given by the women on the circumstances of leaving Jamaica that led to their current aspirations to return.Besides their negative experiences in Montreal, imaginaries, ideas and wishes prefigure actual physical movements and changes of location.Childhood or vacation memories, reports from others, music videos, and social media together contribute as varying pull factors to a mental journey into 'paradise' Jamaica.These inward, mental travels will then follow the actual movements and experiences of (return) mobility.Here, unexpected boundaries await women on their journeys back to their 'roots' that will ultimately decide their future plans.With this part of the empirical findings, I aim to unfold that being Jamaican is not only related to an engagement in an ethnic community or social network, but also established through modes of living and socialization with certain cultural values as well as their conservation.Transmitted knowledge through intergenerational narration and own memories play an important role in understanding current movement aspirations.Ms. Brown, for example, influenced by her past childhood memories and longstanding remittance sending practices as well as family connections to her homeland, wishes to return as soon as possible.Furthermore, the current changes in her social environment in Montreal and her future pension are reasons that strengthen her intention to leave.Emotional sentiments to Jamaica as a place of 'heart' are also inspiring Elisha's plans, in which return becomes a process of 'seeking roots'.Thus, cross-border mobility or migration in its various forms is not solely a phenomenon of first-generation immigrants who want to go back "home", but also of later generations.Narratives of family, romantic imaginaries from past travels and a healthy optimism of going back for good inspire all returns.Actual movement between Jamaica and Canada, but also traveling to different destinations in North America or the UK, e.g., for spending leisure time or visiting relatives and friends, is part of their lives and self-understanding.The following ethnographic depictions highlight how, within this framework and its emphasis on social fields of differential power, the interlocutors explore
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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 | 0.000 | 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 | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".