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Record W4308886772 · doi:10.1017/s0960777322000558

Between the ‘Hand-Loom’ and the ‘Samson Stripper’: Fritz Schumacher's Struggle for Intermediate Technology

2022· article· en· W4308886772 on OpenAlexaff
Robert Léonard

Bibliographic record

VenueContemporary European History · 2022
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsLOOMRationalisationCoalBuddhismManagementEngineeringEconomicsHistoryArchaeologyMathematicsMechanical engineering

Abstract

fetched live from OpenAlex

For twenty years, during which time he started to promote Intermediate Technology abroad and began writing Small is Beautiful (1973), E. F. Schumacher was an economist with the National Coal Board. As such, he led what he called a ‘double-life’. On the one hand, his work at the coal board involved colossal plant, pollution and brute human labour, the difficulty of which could be alleviated only by the adoption of heavy coal-extracting machinery. As time went on, Schumacher became deeply involved in managing and defending the declining coal sector, through the rationalisation and further mechanisation of its production activities. On the other hand, through his personal involvement in the Soil Association, his reading of the Gandhian literature and his exploration of Buddhism and other esoteric interests, he increasingly sought to promote a non-violent approach to economics, based on appropriate technology and gentle, labour-intensive methods, especially in the so-called developing countries. This paper tells the story of Schumacher's growing struggle to reconcile these contrasting spheres of his life, until such time as he could finally leave the coal board, give himself completely to Intermediate Technology and begin writing his influential book.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.024
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.244
Teacher spread0.210 · 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.

Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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