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Record W2109446060 · doi:10.1017/s0047404507070832

<scp>Sol Steinmetz and Barbara Ann Kipfer</scp>, <i>The life of language: The fascinating ways words are born, live, and die</i>

2007· article· en· W2109446060 on OpenAlexaff
John Edwards

Bibliographic record

VenueLanguage in Society · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsEncyclopediaScope (computer science)Subject (documents)Set (abstract data type)InstitutionSociologyHistoryClassicsLinguisticsComputer sciencePhilosophyLibrary scienceSocial science

Abstract

fetched live from OpenAlex

Sol Steinmetz and Barbara Ann Kipfer , The life of language: The fascinating ways words are born, live, and die . New York: Random House, 2006. Pp. xii, 388. Pb $16.95 In 1862, Max Müller published the first of his two volumes on The Science of Language , lectures delivered at the Royal Institution the previous year. The books are among the very earliest examples of “popular” discussions of important linguistic issues, and no doubt the first by a distinguished scholar. They set a standard that has been very frequently emulated, but very rarely equaled. We see in our own time an avalanche of popular books on language, all aimed at a broad and continuing interest that is hardly surprising in a subject of such immediate and ubiquitous presence. Of course, the quality varies immensely. There are basic problems even with the best of them, and the most basic of all are the reconciliation of an appealing scope with a reasonable amount of depth and, relatedly, the provision of some thematic continuity in treatments typically composed of a large number of entries. The most common results, then, are books that are something like dictionaries, something like encyclopedias and, often, something like cabinets of curiosities.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2007
Admission routes1
Has abstractyes

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