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Record W21512335 · doi:10.12927/cjnl.2011.22332

Community engagement in British Columbia archaeology

2014· dissertation· en· W21512335 on OpenAlexaboutno aff
Erin A. Hogg

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyGeographyHistory

Abstract

fetched live from OpenAlex

Archaeologists are increasingly aware that their discipline affects living people, including the descendant communities on whose lands we work and heritage we explore. This trend has created a rise in engaged archaeological practices, including community-based, collaborative, and indigenous archaeologies. This thesis addresses the topic of community engagement by assessing how, to what extent, and to what ends archaeologists and descendant communities are working together in British Columbia. To examine these questions I first describe literature and theory on community engagement within and outside of archaeology, including past attempts to measure or evaluate community engagement. I use this to frame a set of attributes that characterize effective elements of community engagement. I then use these attributes to assess individual British Columbia archaeology projects, through interviews with British Columbia archaeologists and a sample of the British Columbia archaeology reports. My results indicate that British Columbia archaeologists recognize the importance of community engagement and attempt to implement strategies of engagement in their projects. Moreover, my results indicate that meaningful community engagement includes the opportunity for partnership, involvement, and long-lasting relationships.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.302
Teacher spread0.262 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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