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Record W7100902709

2001. Who’s afraid of “rational choice theory

2015· article· en· W7100902709 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Science Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsManifestoArgument (complex analysis)CommunismOpposition (politics)PoliticsGermanFace (sociological concept)Alliance
DOInot available

Abstract

fetched live from OpenAlex

A spectre is haunting Europe—the spectre of communism. All the powers of old Europe have entered into a holy alliance to exorcise this spectre: Pope and Tsar, Metternich and Guizot, French Radicals and German police-spies. It is high time that Communists should openly, in the face of the whole world, publish their views, their aims, their tendencies, and meet this nursery tale of the spectre of communism with a manifesto of the party itself. The Communist Manifesto With apologies to Marx and Engels, the specter that is haunting political science these days is not communism, but something that is commonly called “rational choice theory, ” and many political scientists are busily engaged in forming coalitions among otherwise disparate factions to oppose it. One casualty of their opposition has been a proper understanding of what this specter actually con-sists of. Another, I fear, may be the training of graduate students whose only interest is in acquiring the skills they will need for successful careers in political science. It is for them that I have decided to confront this nursery tale of the specter of rational choice theory with the following personal manifesto. Theorize this! It is impossible to understand what is at stake in this con-troversy if one does not understand what a valid argument is, why the validity of arguments is important, and why it is often difficult to construct valid arguments or to de-termine whether an argument is valid or not. The signifi-cance of valid arguments can be illustrated in the simplest possible way by a visit to the dog pound. Suppose a man wants to find an inexpensive dog for his children to play with, and goes to the dog pound to look for one. He naturally wants a dog that will be good with his children, and not one that would maul them. Sup-pose the attendant assures him that a particular dog would have that quality. Skeptical, he might ask, “How do you know that, and why should I believe it? ” The attendant might reply that the dog in question was a Labrador re-triever. “So? ” the man might reply, to which the attendant

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)0.011
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.011
Scholarly communication0.0100.018
Open science0.0020.002
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0210.007

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 head0.157
GPT teacher head0.463
Teacher spread0.306 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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Same topicPolitical Science Research and EducationFrench-language works237,207