Bibliographic record
Abstract
This paper presents an autoethnographic analysis of identity and belonging. I describe some of my own experiences as a member of the Brazilian and Portuguese communities in order to propose that multicultural individuals need to navigate among the many identities they relate to, which make them live at the margins of cultural groups rather than limiting them to one exclusive culture. I examine the period I lived in the Brazilian community and why I do not fit there; and why I fit in the Portuguese community although I do not feel that I fully belong there. Then, I argue that a multicultural individual needs to live at the margins of cultural communities in order to move among different communities; and conclude that more work on multicultural identity is needed to understand how multicultural individuals handle belonging without identifying themselves with specific groups. The sequence of personal experiences presents a progressive development of identity and belonging culminating with an argument that this project can be enlarged into a qualitative study of identity and belonging in ethnic groups to examine multicultural identity in ethnographic studies.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".