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Record W4254293478 · doi:10.1017/cbo9781316678466

The Mind on Paper

2016· book· en· W4254293478 on OpenAlexaff
David R. Olson

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUnconscious mindLiteracyConsciousnessReading (process)RationalitySubject (documents)CognitionLearning to readPsychologyCognitive scienceLinguisticsCognitive linguisticsEpistemologyComputer sciencePedagogyPhilosophyPsychoanalysis

Abstract

fetched live from OpenAlex

Although the importance of literacy is widely acknowledged in society and remains at the top of the political agenda, writing has been slow to establish a place in the cognitive sciences. Olson argues that to understand the cognitive implications of literacy, it is necessary to see reading and writing as providing access to and consciousness of aspects of language, such as phonemes, words and sentences, that are implicit and unconscious in speech. Reading and writing create a system of metarepresentational concepts that bring those features of language into consciousness as a subject of discourse. This consciousness of language is essential not only to acquiring literacy but also to the formation of systematic thought and rationality. The Mind on Paper is a compelling exploration of what literacy does for our speech and hence for our thought, and will be of interest to readers in developmental psychology, cognitive science, linguistics, and education.

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)0.000
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.041
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0050.006
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0410.013

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 head0.027
GPT teacher head0.256
Teacher spread0.229 · 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

Citations47
Published2016
Admission routes1
Has abstractyes

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