Bibliographic record
Abstract
This thesis project focuses on a photographic collection of the multidisciplinary artist, Michael Snow (Canadian, b. 1929 - ), which is currently in the artist’s possession and has not been previously studied. The collection includes over 5,000 photographic materials related to Snow’s photo-works and his work in other media. The term photo-work is used in this thesis to appropriately reflect the intermedia character of Snow’s photographic compositions. The first chapter explores Snow’s artistic career and photo-work. Chapter two overviews cataloguing standards in Canada, discusses issues in photographic deterioration, and outlines proper storage techniques. Chapter three discusses the cataloguing process of Snow’s photographic collection, including information about the present condition of these materials, and provides recommendations for its future acquisition and potential use. This thesis argues that insight into an artist’s practice is an important part of the cataloguing process, particularly for collections with materials related to the production and/or documentation of intermedia works. With this knowledge, objects can be better identified and understood in relation to the collection to which they belong and the artist’s overall body of work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".