Who Is This Godot? The Academy of Certified Archivists and Graduate Archival Education
Bibliographic record
Abstract
ABSTRACT Since the 1936 founding of the Society of American Archivists, the archival field has struggled with the challenges inhering in professionalization, namely the merits or demerits of institutional or individual accreditation or certification. In 1989, SAA helped establish the Academy of Certified Archivists (ACA), which confers individual certification by written examination. In 1993, ACA modified its bylaws to require graduate education to be eligible for the exam. But, although a relationship clearly exists between certification and education, scholars have not explored, much less profited from, the insights of archival educators. This qualitative case study uses semistructured interviews with thirty-three tenure-track or tenured faculty program directors from graduate archival programs across North America to understand how educators perceive and address certification. Findings reveal that educators are ambivalent about certification, its relationship to graduate education, and its vocational value. The authors discuss the implications of these findings and offer suggestions for research and practice.
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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 | 0.012 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.024 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".