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Record W1486648063 · doi:10.1007/978-0-387-33419-6_3

Information Levels and Barriers

2006· book-chapter· en· W1486648063 on OpenAlexaff
Donald R. Forsdyke

Bibliographic record

VenueEvolutionary Bioinformatics · 2006
Typebook-chapter
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsQueen's University
Fundersnot available
KeywordsMeaning (existential)ConventionCode (set theory)Sequence (biology)Space (punctuation)Computer scienceHead (geology)CommunicationLinguisticsGenealogyPhilosophySociologyHistoryProgramming languageEpistemologyLawPolitical scienceGenetics

Abstract

fetched live from OpenAlex

Aristotle wrote that the form-giving essence, the eidos , “docs not become part of the embryo, just as no part of the carpenter enters the wood he works ... but the form is imparted by him to the material” [ 2 , 3 ]. A carpenter will often hold the information for imparting form to wood in his head. If he wishes to communicate this information to other carpenters separated tram himself in space and time he has to choose symbols and a code. The symbols, D, O, and W, if repeated and arranged in the sequence W, O, O, and O, would be meaningless unless the receiver knew the transmitting carpenter’s code. Thus, implicit to the information concept is the idea that a grouping of symbols can have a meaning, and that there can be a linkage (“mapping”) between the grouping and the meaning, which we call a code (an understood convention). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0050.025
Scholarly communication0.0170.022
Open science0.0020.010
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0220.004

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 head0.016
GPT teacher head0.179
Teacher spread0.163 · 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 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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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