Research of the Psychological Interconnection between the Basic Odors and the Emotional State of a Human Being
Bibliographic record
Abstract
Psychological interrelation between the base odors (according to Amoore) and the base emotional states ofhuman beings (according to Ekman) is established. The subjects were offered samples of the basic odors. Theirtask was to associate these odors with one of the proposed basic emotions. The analysis of variance showed thesignificant association of putrid odor with the emotion of disgust, the odor of mint with the emotion of surprise,and the odor of musk with the emotion of anger. Other odors can cause two or three emotions. Based on thetheoretical analysis, the article proposes to associate flowery odor with the emotion of joy, the odor of fruit withthe emotion of pleasure, the pungent odor with the emotion of fear, and the odor of camphor with the emotion ofsadness. Hypothesis of the existence of olfactory-emotional language allowing to create the emotional tone ofthe odor of any object, is offered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".