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Record W4386481963 · doi:10.1017/aap.2023.15

At the Intersections of History

2023· article· en· W4386481963 on OpenAlexaff
Alexander Menaker, William H. Clark, Douglas K. Boyd, Maria Franklin, Halee Clark Wright, Kevin Hanselka

Bibliographic record

VenueAdvances in Archaeological Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsStantec (Canada)
FundersTexas Department of TransportationU.S. Department of Transportation
KeywordsArchaeologyPraxisState (computer science)Historic siteCommunity engagementHistorySociologyPolitical sciencePublic relationsLaw

Abstract

fetched live from OpenAlex

ABSTRACT The Bolivar Archaeological Project exemplifies the possibilities of archaeology as service, incorporating descendant communities and local stakeholders into the fabric of the research design and planning for a state infrastructure project. This collaborative, multidisciplinary project attends to marginalized histories to offer a model for how publicly funded cultural resources management archaeology can serve multiple goals. The Bolivar Archaeological Project was conceived as a public archaeology project, with dual goals of being community driven and yielding scholarly contributions. In the shifting rural–urban landscape of Denton County, a Texas Department of Transportation road improvement project has supported archaeological investigations of two nineteenth-century sites—a blacksmith shop and hotel—associated with the historic Chisholm Trail. The blacksmith shop belonged to Tom Cook, an African American freedman, whose descendants reside nearby and became active participants in the investigations, including as collaborative authors in this article. The project illustrates the importance of representation and praxis to realize inclusive community engagement, with this article outlining the development of the project and ongoing research. Informed by Black feminist archaeologies, the project works at the intersections of local communities and state infrastructure while navigating landscapes of fraught histories and presents to forge an archaeology for the twenty-first century.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.050
Scholarly communication0.0170.010
Open science0.0010.011
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0250.002

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 head0.052
GPT teacher head0.362
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2023
Admission routes1
Has abstractyes

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