Seen and unseen: using video data in ethnographic fieldwork
Bibliographic record
Abstract
Purpose – The purpose of this paper is to report on video making in two different contexts within the Community Arts Zone research project, an international research project concerned with the connections between arts, literacy and the community. Design/methodology/approach – At one project site, researchers and parents from the community filmed their children making dens with an artist. At another site, a professional film crew filmed young people engaged in arts practice in school settings. Findings – In both cases, researchers, artists and community participants collaborated to do research and make video. This paper discusses the ways that this work was differently positioned at the two sites. These different positionings had implications for the meaning ascribed to video making from the point of view of the participants, researchers and artists involved. Originality/value – By drawing on perspectives of researchers and artists, the paper explores implications for video making processes within ethnographic research. These include a need for awareness of the diversity and fragmentation of the fields of both visual research and visual arts practice. In addition, the relationship between research and the visual is unfolding in a context in which the digital is increasingly ubiquitous in everyday life. Therefore the authors argue for the need for researchers and artists to explore their epistemological assumptions with regards to video and film, and to consider the role of the digital in the lives of their participants. The coming together of these positions and experiences is what constructs the meaning of the digital and visual in the field.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
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 | 0.031 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".