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Record W2253978528 · doi:10.1017/cbo9780511615559.003

The Second Incompleteness Theorem

2003· book-chapter· en· W2253978528 on OpenAlexaff
George Tourlakis

Bibliographic record

VenueCambridge University Press eBooks · 2003
Typebook-chapter
Languageen
FieldComputer Science
TopicComputability, Logic, AI Algorithms
Canadian institutionsYork University
Fundersnot available
KeywordsMathematicsGödel's incompleteness theoremsMathematical economicsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Our aim in the previous section was to present Gödel's first incompleteness theorem in the context of recursion theory. Much as this “modern” approach is valuable for showing the links between unprovability and uncomputability, it has obscured the simplicity of Gödel's ingenious idea (as it was carried out in his original paper (1931)). What he had accomplished in that paper, through arithmetization of formulas and proofs, was to build a sentence of arithmetic, ℱ, that said “I am not a theorem”. One can easily prove, metamathematically, that such an ℱ is undecidable, if arithmetic is ω-consistent . To see this at the intuitive level, let us replace ω-consistency by correctness. Then surely ℱ is not provable, for if it is, then it is a theorem, and hence false (contradicting correctness). On the other hand, we have just concluded that ℱ is true! Hence, ¬ℱ is false, and therefore not provable either (by correctness). This simple application of the “liar's paradox” is at the heart of the first incompleteness theorem. Imagine now that the arithmetization is actually carried out within (some) formal arithmetic, and that with some effort we have managed to embed into formal arithmetic the metamathematical argument that leads to the assertion “if arithmetic is consistent, then ⊬ ℱ”. The quoted statement is formalized by “Con → ℱ”, where “Con” is some (formal) sentence that says that arithmetic is consistent.

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)0.004
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.009
Open science0.0020.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.021
GPT teacher head0.191
Teacher spread0.170 · 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
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
Published2003
Admission routes1
Has abstractyes

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