“Being There” in More-Than-Human Worlds: Place, Body, and Time in Ethnographic Research With Children
Bibliographic record
Abstract
In its attention to numerous small explorations with children and place, we reflect on how Edvard Munch’s painting “The Researchers” could almost be a scene from our ethnographic fieldwork with children. Prompted by our engagement with Munch’s painting, we explore three shifts in our own research practice over time. First, a shift from a sole focus on human relationships to the more-than-human nature of long-term research relations with place points to the bodily, relational nature of knowing that is not easily articulable in words. Second, we grapple with the shifting meaning and purpose of the “data set” within our research. By viewing data as part of a gift-giving logic, interconnection and shifting time scales are emphasized. Third, drawing on the Sámi concept of meahcci, we discuss how fieldwork became “unbounded” spatially and temporally, allowing new ways of knowing to 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 | 0.019 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.015 | 0.082 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".