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Record W4402713586 · doi:10.1093/jopedu/qhae063

Digital <i>Bildung</i> as semantic emplacement

2024· article· en· W4402713586 on OpenAlexaff
Neal Thomas

Bibliographic record

VenueJournal of Philosophy of Education · 2024
Typearticle
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMediationPsychologyBildungEpistemologySociologyPhilosophySocial science

Abstract

fetched live from OpenAlex

Abstract Reading the significance of place as mediated through digital knowledge systems, this article expands recent debates around digital Bildung to include the semanticization of culture. The latter term refers to how data infrastructures correlate entities in their factuality in lived contexts, making them retrievable by digital devices and amenable to predictive inference by machines. Building on the analysis of others who characterize digital Bildung as the production of a semantic self-consciousness in learners, the article seeks to address the role of information systems technique in this production. It locates certain core intellectual justifications for the semantic mediation of culture in the philosophy of Charles Sanders Peirce. Ultimately diagnosing digital Bildung as enculturation to Peircean metaphysics, the article goes on to thematize certain conceptual limitations of our epistemic emplacement via digital systems. Relying on other philosophers to surface these limitations—Jürgen Habermas, James Williams, and Jean-Hugues Barthélémy—the article concludes more polemically by suggesting that defining digital Bildung on the basis of semantic self-consciousness as it is currently understood may exacerbate a crisis of sense in datafied societies.

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 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 score0.586
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.293
Teacher spread0.278 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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