Experimental Support of the Hedonistic Model of Desire
Bibliographic record
Abstract
This article analyzes experiments conducted by one of the authors of the article from the point of view of the hedonistic model of desire proposed by another author. We show that these independently conducted experiments and a number of the classical definitions of desire support the proposed model of desire. The model claims that terms “desire”, “want”, and their cognates describe changes of the Pleasantness of the State of a Subject (PSS) associated with the desire objects, and that the magnitude of these changes is called a “strength of desire”. If the change (Delta) of the PSS for a subject S associated with X is positive/non-positive then X is called desirable/undesirable correspondingly. DESIREs,x = Delta (PSSs,x); STRENGTH of DESIREs,x = |Delta (PSSs,x)|. Main advantages of this model of desire: it is mathematically clear, supported by experiments, intuitive.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".