MétaCan
Menu
Back to cohort
Record W1995892718 · doi:10.1080/07341510304139

What a difference a skidder makes: The role of technology in the origins of the industrialization of tree harvesting systems

2003· article· en· W1995892718 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistory and Technology · 2003
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsForwarderIndustrialisationTree (set theory)Innovation diffusionWork (physics)Computer scienceBusinessEngineeringMarketingEconomicsMathematics

Abstract

fetched live from OpenAlex

We examine in this paper the concurrent appearance of the first two woods machines--the skidder and forwarder. By replacing the horse they initiated the industrial revolution in tree harvesting. We describe their invention and technological development. We then assess their diffusion in the woods, revealing the greater success of the skidder. We demonstrate that this cannot be accounted for solely in terms of their respective technologies. Instead, we argue that the interaction of technology with the social organization of their respective harvesting systems must be analyzed. By doing so, we find that the skidder altered that social organization whereas the forwarder did not. This paper, contributing to the understanding of an important area of economic activity which has been seriously understudied, illustrates concretely that comprehending technology requires locating it in the social organization of work. Keywords: Tree HarvestingForest HistorySkiddersForwardersSocial OrganizationLabor ProcessTechnological Development

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.021
GPT teacher head0.206
Teacher spread0.185 · 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