Playing with Names: How Children Create Identities of Self in Anthropological Research
Bibliographic record
Abstract
Children have long been present in anthropologi cal research but rarely does their involvement receive the criti cal attention that is given to adult participants. This paper examines what is revealed about the construction of identities of self when the research-related play of two girls in quite dif ferent ethnographic contexts is examined. Drawing on research in Bridgetown, Barbados, and Saskatoon, Canada, it is argued that through the playful search for a pseudonym, these two girls speak to issues of poverty and prostitution that highlight how they see, experience and contribute to the world around them as active agents, rather than passive recipients, of cul tural processes. are to be seen and not heard resonates today through out the many academic studies of global poverty, social adversity and personal despair. Heightening the visibility of children and persuading readers of the significance of the issue being discussed, images of children often emerge
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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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.050 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".