MétaCan
Menu
Back to cohort
Record W4236664807 · doi:10.4324/9780203799635-34

John R. Meyer, interviewed by John C. Brown

2007· book-chapter· en· W4236664807 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsArtArt historyHistoryPsychologyPhilosophyPsychoanalysis

Abstract

fetched live from OpenAlex

John Robert Meyer is the James W. Harpel Professor of Capital Formation and Economic Growth, Emeritus, in the Kennedy School of Government, Harvard University, Cambridge, Massachusetts. He was born in Pasco, Washington in 1927 and was educated at the University of Washington (B.A., 1950) and at Harvard (Ph.D., 1955). He joined the Harvard economics faculty in 1955 and taught at Yale University from 1968 to 1973; he returned to Harvard as Professor of Transportation, Logistics and Distribution at Harvard Business School (1973-83), and taught in the Kennedy School until he retired in 1997. From 1967 to 1977 he was President of the National Bureau of Economic Research, a position which led to his move to New Haven to be closer to the Bureau’s offices in New York. On returning to Massachusetts in 1973 he took the Bureau’s headquarters with him to Cambridge, retaining the New York office as a branch. Early in his career he was awarded a Guggenheim Fellowship (1958-9) and a Ford Faculty Research Fellowship at Harvard (1962-3). He has served on the editorial boards of several economics journals and was editor of Explorations in Entrepreneurial History in 1957. Meyer received Harvard’s David A. Wells Prize for his Ph.D. dissertation (1955a) and was elected Fellow of the American Academy of Arts and Sciences in 1968. His expertise in transportation economics and policy has led him to serve as advisor to the Canadian Pacific Railway (1974-81), the US Department of Transportation, and the World Bank. He was a board member of Conrail (1976-8) and of the Union Pacific Corporation (1978-2000), and served as UP’s Vice Chairman (1981-3). On his retirement he was honored with a conference whose presentations compose the Festschrift noted in the Part introduction. Since his retirement he has resided both in Cambridge and in Florida and has been writing his 24th book, Enduring Enterprise: Public Policy and the Development of North American Railroads in the 20th Century, with Robert E. Gallamore. The interview took place in Meyer’s office at the Kennedy School in September 1994 and was conducted by J B of Clark University, who writes:Together with Alfred Conrad, John Meyer played a key role in the early development of Cliometrics. Two of their papers and the resulting discussion were particularly influential in the practice of economic history. One is “The Economics of Slavery in the Antebellum South,” which recast the plantation economy in terms amenable to economic analysis. Their finding that the return to an investment in a slave matched the return available elsewhere is a well known contribution of the paper. It also established a long research agenda on interregional trade in slaves, the demography of slavery and other issues, within a coherent economic framework. The slavery paper also illustrated the methodological contribution presented in another piece they aimed at economic historians, “Economic Theory, Statistical Inference, and Economic History,” which argued that economic historians should look for generalizations and test specific hypotheses. This second paper articulated an analytical distinction between primary literary evidence and the indirect quantitative evidence that could be used to test the implications even of qualitative hypotheses.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0050.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.039
GPT teacher head0.255
Teacher spread0.216 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicHistory of Computing TechnologiesFrench-language works237,207