Adult Third Culture Kid’s (ATCK’s) Journey to Belonging through Blogs and Podcasts
Bibliographic record
Abstract
ATCKs, shaped by high childhood mobility and cross-cultural experience, often struggle with a sense of belonging that can persist throughout adulthood. The aim of this study was to explore the question, “How does the experience of writing blogs and producing podcasts for ATCKs contribute to an ATCK’s own sense of belonging?” The objectives were two-fold: 1) to discover how the topic of belonging is covered in blogs and podcasts produced by ATCKs for ATCKs; and 2) to explore how, by writing blogs or producing podcasts for other ATCKs, they contribute to their own sense of belonging. The qualitative method of netnography was used examining blogs and podcasts produced by three authors/producers. The findings were: 1) belonging, as presented in the blogs and podcasts, focused on ATCKs’ difficulty in defining home and constructed marginality, that is, being so convinced that you do not belong that you go through life continually looking for confirmation; 2) strategies for cultivating belonging, as presented in the blogs and podcasts, include shifting the focus from oneself to others, and connecting and building relationships with intentionality, authenticity, and healthy curiosity; and 3) by exercising for themselves the strategies for cultivating belonging outlined in the blogs and podcasts, the authors and producers can contribute to their own sense of belonging. As evidenced in this study, one way to journey towards belonging is through writing blogs and producing podcasts for ATCKs. By supporting others through the journey towards belonging and sharing their own stories along the way, ATCKs have the opportunity to connect and build relationships with other likeminded people and thereby mitigate the challenge of belonging for themselves. This research has global impact as not only can ATCKs be found in almost any country in the world, but also blogs and podcasts can reach anyone with internet access.
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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 | 0.002 | 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 | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".