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Record W1862909033

A FORGOTTEN CONTRIBUTION OF HERBART (1837/1851) TO THE LITERATURE ON THE MEASUREMENT OF SENSATIONS

2008· article· en· W1862909033 on OpenAlexaff
David J. Murray

Bibliographic record

VenueProceedings of Fechner Day · 2008
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsQueen's University
Fundersnot available
KeywordsViewpointsSensationPsychologyDimension (graph theory)EpistemologyPhilosophyPsychoanalysisCognitive psychologyMathematicsArt
DOInot available

Abstract

fetched live from OpenAlex

It was in 1824 that J. F. Herbart (1776-1841) presented the most complete version of his Newtonian model of events involving consciously experienced mental representations (Vorstellungen). In 1837, Herbart wrote a fragment (published posthumously, in 1851) concerning the measurability of Vorstellungen. According to Herbart, mental sensation- Vorstellungen differ quantitatively from the physical objects they represent in not possessing spatial dimensions, and in having magnitudes on a psychological dimension as opposed to a physical dimension (with the boundaries of the former differing qualitatively from those of the latter). Because, in Herbart’s model, interactions between Vorstellungen always demand the simultaneous presence of at least two Vorstellungen, Herbart contended that the laboratory measurement of the strength of a single sensation is not necessarily relevant to the establishment of either the validity or the reliability of his model. This opinion anticipated present-day viewpoints such as that of Laming (1997) concerning sensation measurability.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0040.028
Scholarly communication0.0040.010
Open science0.0010.003
Research integrity0.0030.006
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 head0.033
GPT teacher head0.293
Teacher spread0.260 · 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 designNot applicable
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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueProceedings of Fechner DaySame topicAcademic and Historical Perspectives in PsychologyFrench-language works237,207