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Record W4307257035 · doi:10.1111/cob.12562

Rethinking weight: Finding self‐compassion for ‘weight management’

2022· letter· en· W4307257035 on OpenAlex
Jennifer Brenton-Peters, Michael Vallis, Shannan Grant, Nathan S. Consedine, Sara Kirk, Rajshri Roy, Anna Serlachius

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Obesity · 2022
Typeletter
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMount Saint Vincent UniversityDalhousie University
Fundersnot available
KeywordsWeight managementCognitive reframingCompassionMedicineWeight lossDistressPerspective (graphical)Self-managementSelf-compassionBody weightApplied psychologyPsychologySocial psychologyClinical psychologyMindfulnessObesity

Abstract

fetched live from OpenAlex

Conventional weight management approaches emphasize engaging in health behaviours, such as healthy eating and physical activity, to control body weight and promote favourable health outcomes (e.g., lower blood pressure). However, weight management is a multi-faceted, complex process influenced by numerous factors that limit the impact of behaviour change on weight. Self-compassion, treating oneself kindly in times of increased distress or difficulty, may offer a way for individuals to cope with the challenges of managing weight. The objectives of this perspective paper are threefold: (1) to conceptualize weight management, (2) to describe the problem that arises when focusing solely on weight loss, and (3) to explore the theoretical rationale for integrating self-compassion into weight management interventions. To support individual health and well-being, there is a need to reframe measures of success and provide innovative ways to cope with the challenges of managing body weight. Continued research is needed to investigate whether self-compassion can support health outcomes for those with weight management goals. This manuscript provides a proposed research agenda and implications for future practice.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0850.001

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.

Opus teacher head0.107
GPT teacher head0.404
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it