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Record W2338730919 · doi:10.14288/1.0072729

Unearthing archives : an examination of documents generated in the course of archaeological fieldwork in Canada

2012· article· en· W2338730919 on OpenAlexaboutno aff
Elizabeth Caitrin McManus

Bibliographic record

VenuecIRcle (University of British Columbia) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCourse (navigation)ArchaeologyHistoryGeographyEngineering

Abstract

fetched live from OpenAlex

Archaeology is a science that destroys the very evidence it wishes to study. Archaeologists must therefore clearly document all stages of their work. In Canada, legislation dictates that all artefacts recovered from archaeological activity must be deposited in an archaeological repository. In most cases only copies of a final report are required to be submitted to the provincial government department responsible for archaeology. This thesis sought to discover what happens to the documents generated from archaeological activity and whether they are of value to archaeologists. Data was collected through semi-structured interviews and surveys, and a review of current literature on archaeological practice. It was found that archaeologists place a high value on the documents they generate during an archaeological project and wish that they be kept in perpetuity; however, a lack of recordkeeping standards and of a relationship based on trust between archaeologists and archaeological repositories has led to poor record keeping practices amongst archaeologists in both academic and consulting environments and few transfers to repositories. The few documents that are transferred to repositories are rarely processed according to archival methodology for preservation and they are not easily accessible to researchers or the public. Thus, this thesis is concluded by a series of recommendations aimed to ensure that the documentary by-products of archaeological activity be maintained and preserved as reliable and authentic evidence of the projects to which they relate.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.217

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.208
Teacher spread0.193 · 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.

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

Citations4
Published2012
Admission routes1
Has abstractyes

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