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Record W2620449819

Archaeological resource impact assessment : Jefferson Property, Fall River

2017· article· en· W2620449819 on OpenAlexaboutno aff
Davis Archaeological Consultants Limited, April MacIntyre, Stephen Davis

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyResource (disambiguation)Property (philosophy)GeographyComputer science
DOInot available

Abstract

fetched live from OpenAlex

In October 2004, Davis Archaeological Consultants Limited conducted an archaeological resource impact assessment of the Jefferson Property in Fall River under contract to Halifax Regional Municipality and in accordance with Heritage Research Permit A2004NS82 (Appendix A). The property is the proposed site for a community recreational facility to be constructed in 2005. The purpose of the assessment was to locate potential heritage resources within the study area, assess the archaeological significance of any such resources, and provide recommendations for mitigation if necessary. A field survey was conducted by three qualified archaeologists over three days between 20 and 22 October 2004 and was preceded by a historical background study. This report is a summary of the history of the study area, the activities carried out by the archaeologists during the assessment, the heritage resources encountered and their historical significance, as well as recommendations for their mitigation prior to and during construction.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.232
Teacher spread0.211 · 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
Published2017
Admission routes1
Has abstractyes

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