Ancient Ecology: The Quadra Island Clam Gardens
Bibliographic record
Abstract
For millennia, humans around the world have managed terrestrial and marine ecosystems. Along the northeastern Pacific, First Nations and Native Americans sustained large, vibrant populations by developing diverse resource management strategies that increased food production and food security. The legacy of these practices continues to shape coastal ecosystems today. Beginning some 3,500 years ago, Indigenous Peoples of the northeastern Pacific coast created and enhanced clam habitat and clam production by building “clam gardens”—intertidal rock walls and associated soft sediment terraces. These cultivated ecosystems provide easy to access, predictable, and abundant shellfish and other species that are staple foods among coastal communities. The tending of bivalves in clam gardens in the northeastern Pacific is part of a larger system of resource management that spans terrestrial and marine environments, and encompasses cultural knowledge and practices about how to interact with human and non‐human beings. Clam gardens, and the knowledge that is embedded within them, have been a central part of the lives of coastal First Nations for millennia. Despite this, western scholars were slow to understand their importance, and indeed their existence. This was in large part because of preconceived notions that northeastern Pacific Indigenous peoples were “hunter–gatherers” rather than cultivators, who were not intimately connected to or knowledgeable about their lands and seas. In the case of clam gardens, these preconceptions disintegrated in the early 2000s when Kwakwaka'wakw Clan Chief Kwaxistalla Wathl'thla Adam Dick shared his cultural knowledge about clam gardens with coastal geomorphologist John Harper and ecologist Mary Morris, who had observed extensive intertidal rock walls running parallel to the shore while mapping coastal habitats within the Broughton Archipelago for British Columbia's Ministry of Sustainable Development. This led to a cascading wave of recognition on the part of the western scientific community about the central role that clam management played in ecosystem creation and management on the northeastern Pacific coast.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".