The “Authentic Evocation” in Ethnographic Photography as Art: Taking Lau Pok Chi’s Art Practice as an Example
Bibliographic record
Abstract
This article emphasizes the disciplinary problems of anthropology after the representation crisis, and the connected phenomenon of the intersection of the disciplines of art and anthropology, considering the art practice of the Chinese American photographer Lau Pok Chi, mainly his Cuban Chinese project, as an instance for showcasing the authenticity of photographic art as ethnographic practice and its value for the development of anthropology. After assessing the important motivation of the artist’s practice, which is rooted in his construction of self-identity, and the methods and principles of his “quasi-ethnographic” research, this paper recommends that the authenticity of such type of ethnographic photography also obtains from its exposure of reflexivity and the transcendence of the separation of “things” and “words”, which may further motivate the multiple explorations of the two-way intervention between these two disciplines.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".