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
Sport is a domain that is rife with loss, failures, and disappointment. Self-compassion – the recognition of one’s own suffering and a desire to alleviate it – offers protection against maladaptive psychological experiences in sport. The purpose of this scoping review was to update and expand the results of the review by Röthlin and colleagues ([2019]. Go soft or go home? A scoping review of empirical studies on the role of self-compassion in the competitive sport setting. Current Issues in Sport Science, 4, Article 013. https://doi.org/10.15203/CISS_2019.013), and to identify new themes to help guide future research. Sixty-nine publications were identified using a variety of search strategies. Quantitative research (62.3%) and cross-sectional designs (83.3%) were most common, and most research was conducted by researchers residing in Westernized countries (81.2%). The majority of study participants (n = 10,025) were collegiate athletes (42.1%), and female/women sport participants were sampled slightly more frequently (52.4%). Researchers often investigated sex- or gender-based and competition level differences in self-compassion scores. Other common areas of research focus included well-being, mindfulness, striving for excellence, overcoming setbacks, negative thoughts and emotions, and self-criticism. New research areas that were identified included a need for theory, additional efforts towards conceptualization and measurement, acknowledgement of participant selection bias, integrating intersectionality, the relationship between self-compassion and performance, the distinctiveness between self-compassion and mindfulness, and future directions for interventions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
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