The Case of Neuman’s “Computational Cultural Psychology”: An Innovative Theoretical Proposal and Welcomed Toolbox Advancements
Bibliographic record
Abstract
The Case of Neuman's "Computational Cultural Psychology": An Innovative Theoretical Proposal and Welcomed Toolbox Advancements Authors Raffaele De Luca Picione Dipartimento di Studi Umanistici, Università degli studi di Napoli Federico II, Naples, Italy Abstract No abstract available. PDF HTML Article info Impact Citations How to Cite License Published at 28. November 2014 https://doi.org/10.5964/ejop.v10i4.806 Issue: Vol. 10 No. 4 (2014) Section: Book Reviews Keywords: computational tool cultural psychology Neuman Yair Share: Z De Luca Picione, R. (2014). The Case of Neuman's "Computational Cultural Psychology": An Innovative Theoretical Proposal and Welcomed Toolbox Advancements. Europe's Journal of Psychology, 10(4), 783-791. https://doi.org/10.5964/ejop.v10i4.806 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX This work is licensed under a Creative Commons Attribution (CC BY) 3.0 International License. PlumX Dimensions Views: Total Abstract PDF HTML 554 297 200 57 Downloads: Download data is not yet available.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".