Photographic Preservation; On Becoming A Professionalized Field
Bibliographic record
Abstract
This paper considers whether or not the occupation of photographic preservation is a professional field, discussing both its current attributes and the elements that are still missing. It includes a discussion of the histories of photographic preservation and conservation, and of the growing interest in advanced professional education. It also includes a historical account of how the only MA in Photographic Preservation and Collections Management grew into what it is now. Drawing on the work of sociologists on the topic of professionalization, this paper asserts that a professionalized field demonstrates certain characteristics that include unified knowledge, standardized skills, and codes of ethical conduct. By comparing the field of photographic preservation to other more established professions my research shows that the field of photographic preservation and collections management is moving toward a professionalized state. This paper concludes with a proposed 'Code of Conduct' document suitable for the field of photographic preservation.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.055 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| 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, 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".