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Record W2480042520 · doi:10.1017/ccol0521831040.009

Vygotsky and Culture

2007· book-chapter· cs· W2480042520 on OpenAlexaff
Michael Cole, Natalia Gajdamaschko

Bibliographic record

VenueCambridge University Press eBooks · 2007
Typebook-chapter
Languagecs
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHuman cultureEpistemologySociologyPsychologyPhilosophyAnthropology

Abstract

fetched live from OpenAlex

Vygotsky's ideas about culture are of special interest because he attributed such an essential role to culture in human psychological processes. However, any attempt to provide an adequate account of his ideas about culture and human nature faces formidable obstacles. To begin with, the term “culture” is virtually absent from the indexes of his published works. When we delve deeper into his texts, we find culture appearing in three distinctive forms. First, culture defined as artistic products and the processes of creation, appears in such works as The Psychology of Art , as part of Vygotsky's long-standing interest in literary and cultural criticism. This early involvement of culture in Vygotsky's writings (which engaged him in debates with Russian formalists) appears later in his extensive use of literary examples to illustrate the operation of important psychological functions. Tolstoy, Dostoevsky, and several Russian poets provide important material for his arguments in Thinking and Speech . Second, when we turn to Vygotsky's better-known works on the development of higher psychological functions, culture appears in two related forms. We find it appearing in terms such as “cultural-historical” and “cultural development,” which apply to the way in which the mediation of action through culture is a defining property of human psychological functioning.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.016
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.089
GPT teacher head0.323
Teacher spread0.234 · 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
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

Citations48
Published2007
Admission routes1
Has abstractyes

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