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Record W804216771

Exploring Technological Style and Use in the Ontario Early Late Woodland: The Van Besien Site

2013· dissertation· en· W804216771 on OpenAlexaboutno aff
Jennifer S. Schumacher

Bibliographic record

VenueMacSphere (McMaster University) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWoodlandStyle (visual arts)GeographyArchaeologyEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores social identity and group membership at the Van Besien site by identifying the social patterning in the production and consumption of ceramics. Since potting is a social event involving transmission of knowledge, production exists within social constraints specific to each potter and influences the technological choices he/she makes. Such technological choices culminate in what is regarded as technological style, created by the repetition of activities or choices that create discernible patterns to allow for identification of styles that demarcate social boundaries. By identifying stylistic traditions of production and use of ceramics at Van Besien, I found evidence for both fluidity and rigidity of social boundaries. There are constant technological choices that traditionally would be viewed as evidence of rigid social membership. In contrast, the presence of variability at the Van Besien site indicates that social groups were not rigid. To identify if social membership was spatially represented, variability was explored throughout the site. I found that there were unexpected social divisions visible spatially in the pottery. The results demonstrate that with new theoretical frameworks, new interpretations regarding village social spheres can be discerned. My thesis represents a successful re-evaluation of an extant collection with missing and deficient documentation. This case study shows that extant collections can be revisited, reevaluated, and shed new light on academic debates in Ontario archaeology.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score0.997

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.050
GPT teacher head0.218
Teacher spread0.168 · 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 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
Published2013
Admission routes1
Has abstractyes

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