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Record W4327745908 · doi:10.4324/9781003371106-3

“The early days”— underwater prehistoric archaeology in the USA and Canada

2023· book-chapter· en· W4327745908 on OpenAlexaboutno aff
Ervan G. Garrison, Jessica W. Cook Hale

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsPrehistoryArchaeologyUnderwater archaeologyUnderwaterGeographyHistory

Abstract

fetched live from OpenAlex

Here, we present a historical review of important published studies of submerged prehistoric sites in North America prior to 1990. Prior to that point, a review of mid-twentieth century literature on the subdiscipline demonstrates that “prehistoric” was not a significant element in practice. In the U.S.A. and Canada, very few professional papers or articles were published on the topic of submerged prehistoric archaeological sites until mid-century or later. Most early studies were written by avocational archaeologists or specialists from other disciplines interested in archaeology. This changed in the 1970s, when formal surveys, reports, and publications written by academically trained archaeologists increasingly appeared in peer-reviewed journals and edited volumes. By the 1980s the establishment of underwater prehistoric archaeology as new sub-discipline was well underway. This review is designed to give the reader a brief overview of the discipline as it matured, though we lack the space to provide a full critical analysis here.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.018
Science and technology studies0.0050.002
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.027
GPT teacher head0.189
Teacher spread0.162 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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