NEW BOOK ON VISUAL ANTHROPOLOGY AND DIASPORA EPISTOLARY. BOOK REVIEW: Mayerchyk M., Pogosjan J., Yesypenko D. Lena and Thomas Gushul: Life in Front and Behind the Camera. Vol.1–2. Edmonton: Peter and Doris Kule Centre for Ukrainian and Canadian Folklore, 2023. 136 + 212 p.
Bibliographic record
Abstract
The two-volume book by the authors team – Dr. Yelena Poghosyan, Dr. Maria Mayerchyk and Dmytro Osypenko, «Lena and Thomas Gushul: Life in front of and behind the camera», which was just published in Edmonton (Canada), was reviewed. This is a solid project on the history of Ukrainian diasporic visual culture and at the same time on Ukrainian diasporic epistolary, which was carried out at the Doris and Peter Kule Center for Ukrainian and Canadian Folklore (University of Alberta, Canada). The peer-reviewed work concerns the beginning and the first half of the 20th century, highlighting the life and work of the couple Olena and Thomas Gushul, who were of Ukrainian origin. Having their photo studios in two mining towns in southwestern Canada, they managed to break out of the narrow framework of the photo business of that time and become photo artists, enriching the history of Canadian and Ukrainian diasporic visual culture with their works. The authors included in their book and analyzed a rich family epistolary, which illuminates the life of the Ukrainian working and intellectual environment of the first decades of the 20th century.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.015 |
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".