In Search of Flow in Counseling and Psychotherapy: Identifying the necessary ingredients of peak moments of therapy interaction / Auf der Suche nach<i>Flow</i>in Beratung und Psychotherapie: Identifikation der notwendigen Bestandteile von Gipfelmomenten therapeutischer Interaktion / En búsqueda de fluidez en counseling y psicoterapia: Identificando los ingredientes necesarios de los momentos pico de interacción en terapia / La recherche de mouvement dans le counseling et la psychothérapie: L'identification des composants nécessaires aux “temps forts” dans l'interaction psychothérapeutique / Em busca do Fluir em<i>Counselling</i>e Psicoterapia: Identificação dos ingredientes dos momentos chave na interacção terapêutica /
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
Abstract Flow is a key concept in the study of peak moments of human experience and performance (Csikszentmihalyi, 1975, 1988, 2000, 2003). During moments of flow, creativity is enhanced, meaning is created, and well-being grows. Flow has been investigated mainly in business, sports, and creative activities. The aim of this paper is to review the ingredients and conditions of flow and identify the necessary aspects of a flow experience in therapy. Based on a comprehensive review of the flow literature and examination of its relevance to counseling (especially during highly influential, positive moments of therapy), we considered the following five elements as important in capturing the essence of flow during peak moments of therapy: experience of bonding and connectedness, intense concentration on a challenging task/topic, immediate/ongoing feedback, altered sense of time, and growth promotion.
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 | 0.017 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| 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 it