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Record W2243040700

Forging ahead at Hervey's Range in the hinterland of Townsville, North Queensland

2011· article· en· W2243040700 on OpenAlexaboutno aff
Marianne Clarkson

Bibliographic record

VenueResearchOnline at James Cook University (James Cook University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExcavationWork (physics)ArchaeologyHistoryRange (aeronautics)Customer baseEngineeringSociologyGeographyMarketingBusinessMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

One of the acknowledged gaps in historical archaeological research themes is that of early Australian secondary industries, such as blacksmith shops, making any comparison to conclusions drawn from research elsewhere in the world very difficult. The classic diagnostic criteria for a stand-alone blacksmith shop was described by Light (1984) following his work at several Canadian fur trade era sites, with Hyett (2002) suggesting some reasons, such as climate, availability of local materials and transportation difficulties, as to why his findings at an early Australian blacksmith did not adhere to these strict descriptions. Recent excavation work on a heritage listed site in the Townsville hinterland has revealed a possible smith dating to the mid-1860s that also deviates from Light's criteria, hinting that other factors, such as the customer base, distance from a main town and the experience of the smithy himself, may be important for the shop’s design and layout. Further research in this area could help to define a more specific set of diagnostic criteria for early Australian blacksmiths.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.052
GPT teacher head0.257
Teacher spread0.204 · 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
Published2011
Admission routes1
Has abstractyes

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