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Record W4244465385 · doi:10.1179/hso.2011.4.1.83

Treasure Bearers

2011· article· en· W4244465385 on OpenAlexfundaboutno aff
John R. Welch, Dana Lepofsky, Megan Caldwell, Georgia Combes, Craig Rust

Bibliographic record

VenueHeritage & Society · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
FundersSimon Fraser UniversityCanada Research ChairsUniversity of Georgia
KeywordsStewardship (theology)TreasureCultural heritageBureaucracyAsidePolitical sciencePublic relationsCultural heritage managementEnvironmental ethicsSociologyLawGeographyArchaeologyPolitics

Abstract

fetched live from OpenAlex

Heritage institutions often seem bureaucratic and faceless, but law, policy, and practice are traceable to personal values, preferences, and actions. Individuals have been recognized as "agents" in critical theory and archaeology, but aside from celebrity campaigners for high-profile preservation causes and other anecdotal accounts, the people who carry tangible and intangible heritage across generations receive scant attention. Our profiles of cultural practitioners, documenters, and advocates — five bearers of Northern Coast Salish cultural heritage in British Columbia, Canada — identify four personal characteristics that appear to increase leadership effectiveness in heritage stewardship. We suggest that individuals are more likely to achieve stewardship goals when they are (1) personally identified with the heritage; (2) clearly serving collective interests; (3) credible in communications within and across social boundaries; and (4) willing to act on personal commitments, even in risky situations. The lives and works of the five Treasure Bearers profiled here established the baseline terms of reference, data sets, and priorities for the region's first significant collaborations among First Nations, local governments, researchers, and citizens. Their seminal efforts not only paved the way for initial steps toward intercommunity reconciliation, but assured a pivotal role for cultural heritage in an ongoing suite of community-based initiatives to incorporate the most significant and valuable aspects of the past into a regional future all can be proud of.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.776
Threshold uncertainty score0.989

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.189
GPT teacher head0.221
Teacher spread0.031 · 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
GenreEmpirical

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

Citations8
Published2011
Admission routes2
Has abstractyes

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