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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 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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.157
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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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