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Record W4385740822 · doi:10.4324/9781003316497-9

Clam Gardens Across Generations and Places Support Social–Ecological Resilience to Global Change

2023· book-chapter· en· W4385740822 on OpenAlexaboutno aff
Dana Lepofsky, Anne K. Salomon

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)GeographyEcologyEnvironmental resource managementEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

The construction of intertidal rock-walled terraces, colloquially known as clam gardens, was one of a suite of ancient mariculture techniques practiced by Indigenous peoples of the Northwest Coast of North America. Clam gardens were built and tended across significantly more than 1,000 kilometers of coastline and over at least four millennia. Throughout this time and space, a suite of environmental and social variables, such as changing climate, sea level, human population demographics, and tenure systems, would have influenced the reciprocal relationship between clam gardens and generations of people learning from and adapting to these slowly changing conditions and punctuated disturbances. Based on our understanding of clam gardens from coastal British Columbia, Canada, we explore how social and environmental variables and their differences through time and space may have shaped multi-generational practices surrounding the building, maintenance, use, and recent reconnection to and reclamation of ancestral clam gardens. Ultimately, clam gardens are exemplars of how looking to the past can guide the future of resilient, equitable, and sovereign food systems amid changing ocean and socio-political conditions.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.336
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.054
GPT teacher head0.272
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations11
Published2023
Admission routes1
Has abstractyes

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