“We Were Here, We Were Always Here”: A Holistic Approach to the Pictographs of lekw’emin (Jervis Inlet)
Bibliographic record
Abstract
Rock-art serves as a cultural memory, providing valuable insights into the perceptions and connections that ancestral peoples held with their surrounding environment. On the Northwest Coast of North America, over six hundred rock-art sites have been identified, with a high concentration in the Coast Salish region. Within the swiya (world, birthplace, lands, waters) of the shíshálh Nation, forty-nine such sites exist, with fifteen of these sites along the shores of lekw’emin (Jervis Inlet). This thesis focuses on these fifteen sites, aiming to examine the utilisation, creation, dissemination, and significance of the pictograph sites within lekw’emin. Guided by questions on rock-art utilisation, landscape insights, and shíshálh worldviews, this study employs a holistic approach combining field documentation, community-guided interpretations, and archival research to express the intricate ways in which the shíshálh have utilised rock-art to communicate, navigate, and reinforce their relationship with the land and their cultural heritage. The rock-art of lekw’emin is deeply interwoven with the daily life and practices of those who traversed its landscape, serving as a medium for cultural expression, practical guidance, and communication of traditional knowledge. This research emphasises the broader contextual significance of these sites, extending beyond individual pictographs to encompass the entire cultural landscape. Its significance transcends aesthetic or utilitarian considerations, serving as a locus of cultural memory, knowledge, and spiritual connection within the collective lived experience of the shíshálh peoples.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".