Die implizite Selbstregulation am Beispiel des Essverhaltens: Konsequenzen für die Psychotherapie
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Explicit processes of self-regulation require insight and control during implementation and are therefore often experienced as being strenuous, while implicit processes of steering behavior are automatic, rapid and effortless. However, self-regulation is not always either explicit or implicit; all variants ranging from those that are entirely automatic to those being entirely under control are present. As individuals are not aware of their underlying implicit modes of self-regulation, it is necessary to create an approach that is proximal to affective processing, by-passing the cognitive, verbal level. Promising approaches of this kind are such including embodied experiences or such shifting the body to a state, in which the apperception of implicit mechanisms is facilitated. Given that therapeutic work of self-regulation is in many cases carried out on an explicit level of processing, the need for novel, neurobiologically founded strategies intervening on the implicit (pre-verbal) level are called for. Correspondent paradigms, e. g. the approach-avoidance task (AAT) for the assessment of implicit processes are presented here with regard to food-intake regulation. This work is a narrative (qualitative) review aiming at illustrating the field of implicit bias research as well as the development of new implicit bias training paradigms to be used as add-on in future psychotherapeutic treatments. Therefore, a selection of relevant studies based on subjective criteria was made. Thus, this work is not a systematic review and does not claim to be an exhaustive description of studies of this kind.
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.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.008 | 0.007 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.009 | 0.000 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.034 | 0.057 |
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 it