Summaries of Scholarly Symposia 1.2
Bibliographic record
Abstract
Geoffrey Batchen Facing Asia: Histories and Legacies of Asian Studio Photography An International Conference. Humanities Research Centre, Australian National University, Canberra August 21-22, 2010 A symposium held on Tuesday, February 8, 2011 Rutgers, The State University of New Jersey, New Brunswick This afternoon symposium belongs to a series of public events organized by the Developing Room, a working group at the Rutgers Center for Cultural Analysis devoted to the study and practice of photography. The three speakers and two moderators will reflect on what it means to write national, regional, and global histories of photography. Why are such histories written? How do they challenge Western conceptions of the photographic medium and dominant narratives in the field of photography studies? What new challenges do geographically and culturally expansive histories create by bringing into dialogue photography and photographies, global and local, national and transnational, majorities and minorities, cultural identity and cultural difference? Panel Presentation at the College Art Association 99th Annual Conference Panel organizer: Ayelet Zohar, PhD, Lecturer, University of Haifa Hye-ri Oh, PhD Candidate, Binghamton University, State University of New York Namiko Kunimoto, PhD, Assistant Professor, American University, Washington DC Masako Toda, PhD Candidate, Tokyo University Yi Gu, PhD, Assistant Professor University of Toronto Jeehey Kim, PhD Candidate, The Graduate Center, City University of New York Mikiko Hirayama University of Cincinnati
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.528 | 0.393 |
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".