Speaker Series on Aboriginal Issues 2017 — Encountering Early Photography of Northwest Coast First Nations
Bibliographic record
Abstract
This presentation examines a set of photographs held in the research archive of the Bill Reid Centre for Northwest Coast Studies at SFU. It traces shifts in meaning as they have moved from commercial, government, and museum contexts toward being held up as symbols of Indigenous pride.\n\nTo view some of the photographs mentioned in the presentation, go to www.sfu.ca/brc/virtual_village.html \n\nSPEAKER BIO\nBryan Myles is the Interim Director of the Bill Reid Centre for Northwest Coast Studies at SFU, where he is working on an interdisciplinary PhD that explores the changing relationship between memory, institutions and Indigenous peoples. His research interests include Indigenous cultural heritage in digital contexts, visual anthropology, postcolonial studies, and material culture. Myles' doctoral research investigates the use of new and emerging media technologies to record, document, safeguard, and create access to Northwest Coast visual cultural heritage.\n\nMyles completed his Master’s degree in sociocultural anthropology at Carleton University in 2008. His M.A. thesis project examined the disjuncture between ecotourism and cultural tourism principles and practice in the Mesoamerican country of Belize.\n\nIn his time with the Bill Reid Centre at SFU, Myles has been involved in numerous Northwest Coast art and cultural heritage projects that draw on the visual histories of the coast and the work of historic and contemporary Northwest Coast artists.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".