MétaCan
Menu
Back to cohort
Record W2482702047 · doi:10.1075/slcs.144.01coh

Historical, Darwinian, and current perspectives on the origin(s) of language

2013· book-chapter· en· W2482702047 on OpenAlexaff
Henrí Cohen

Bibliographic record

VenueStudies in language companion series · 2013
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDarwinismCurrent (fluid)LinguisticsEpistemologySociologyPhilosophyEngineering

Abstract

fetched live from OpenAlex

Language has universally been felt to constitute the attribute that sets humans apart from other species. The quest to understand why and how the capacity to speak came to be has been central to our understanding of the nature of humankind. In this chapter, we focus on the speculations and explanations of the origin and evolution of language, highlighting attempts to answer this question from the ancient Greeks to the present day. A number of perspectives are presented, more or less in phase with the chronological development of the related ideas. Early thoughts on language origin in antiquity, the language deprivation experiments, and the Christian-era reflections on the origin of language constitute the first perspectives. Next, some pre-Darwinian accounts of the origin of language are explored, specifically Condillac’s and Monboddo’s views, as best reflecting the spirit of the Enlightenment, and Herder’s treatise on the subject. The historical context of the Société de Linguistique de Paris’s ban on this very topic is then examined, revealing the enduring misperception of its nature and causes. Charles Darwin’s views, seldom part of discussions on the origin of language, are also presented. We close the chapter with a brief overview of current questions and directions that characterize contemporary efforts at elucidating this fascinating problem.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.305
Teacher spread0.228 · 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 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".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueStudies in language companion seriesSame topicHistorical Linguistics and Language StudiesFrench-language works237,207