GDP: A Brief but Affectionate History¶
Coyle, D. (2014). GDP: A Brief but Affectionate History. Princeton University Press.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Fallacy Of Misplaced Concreteness
- Economics — GDP treated as the thing being maximized rather than a coarse summary of national activity; "the market" reified as an agent with preferences.
This sourceArgues GDP is a measure of production, not welfare, with arbitrary boundaries on what counts — supporting the critique of GDP reified as the thing to be maximized and "the market" treated as an agent.
- Economics — GDP treated as the thing being maximized rather than a coarse summary of national activity; "the market" reified as an agent with preferences.
- Feature Engineering
- Hand-crafted features for text, speech, images, and tabular models; representation choice survives wherever the model is small, the data tabular, or domain knowledge rich enough to encode shortcuts the learner cannot discover unaided. Education assessment. Designing test items, scoring rubrics, and derived metrics (composite scores, sub-scales, growth percentiles) is feature engineering on student behavior; the chosen features bound what the assessment can detect. Public-policy indicators. GDP, the unemployment rate, the CPI basket, the Gini coefficient, human-development indices — each is an engineered feature of an enormous raw phenomenon, designed to make a particular regularity legible to policy actors, with the choice of basket and weights consequential for what a state can see.
This sourceTraces how GDP and related indicators are deliberately constructed measures of an enormous raw phenomenon, with consequential choices of definition, basket, and weighting, supporting public-policy indicators as engineered features.
- Hand-crafted features for text, speech, images, and tabular models; representation choice survives wherever the model is small, the data tabular, or domain knowledge rich enough to encode shortcuts the learner cannot discover unaided. Education assessment. Designing test items, scoring rubrics, and derived metrics (composite scores, sub-scales, growth percentiles) is feature engineering on student behavior; the chosen features bound what the assessment can detect. Public-policy indicators. GDP, the unemployment rate, the CPI basket, the Gini coefficient, human-development indices — each is an engineered feature of an enormous raw phenomenon, designed to make a particular regularity legible to policy actors, with the choice of basket and weights consequential for what a state can see.
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