The 2005 Rolt Memorial Lecture Industrial Archaeology or the Archaeology of the Industrial Period? Models, Methodology and the Future of Industrial Archaeology
Bibliographic record
Abstract
This paper outlines in brief the development of Industrial Archaeology in Britain as a mainstream branch of archaeology over the last 50 years, before then reviewing some of the recent methodological developments in IA. The author argues that whilst Industrial Archaeology embraces both the archaeology of technology and the archaeology of industrialisation, it is the latter strand that is the defining feature of much modern IA work. A wide range of techniques emphasising both landscape and social change, linked to technological development, have been developed by those studying the phenomenon of British industrialisation since 1991. It is argued that the radical changes to the production, consumption, and urban nature of this newly industrialised society is best studied archaeologically through the medium of this new Industrial Archaeology. Furthermore, this social and landscape approach, coupled with the study of technological change, could be used to compare the different rates and geographical location of industrialisation around the globe from a distinctive archaeological perspective.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".