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Record W2899156594 · doi:10.1016/j.heliyon.2018.e00883

Self-compassion, the ‘quiet ego’ and materialism

2018· article· en· W2899156594 on OpenAlexaff
David Watson

Bibliographic record

VenueHeliyon · 2018
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSelf-compassionPsychologyMaterialismId, ego and super-egoCompassionMindfulnessSocial psychologyPsychotherapistEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The research is an investigation of self-compassion and materialism. Self-compassion is when an individual has a caring, non-judgmental view of the self. This quality has been related to lower depression, less negative emotion and higher psychological health (Neff, 2003). Materialism has been consistently associated with low subjective well-being and unhappiness. A related concept is that of the 'quiet ego', which is a less competitive, less self-centered individual with more concern with connecting with others and with personal growth (Wayment et al., 2015). Therefore, it is hypothesized that highly materialistic individuals will be lower in self-compassion and have a fear of compassion from others and towards others and that self-compassion and fears of compassion will mediate the relationship between materialism and low subjective well-being. As materialistic individuals are more likely to be competitive and individualistic, it is hypothesized that the 'quiet ego' will be negatively related to materialism. These hypotheses were investigated using a set of questionnaires with 423 undergraduate participants. The results indicated a relationship between materialism and fear of compassion for others and of responding to the compassion of others. Materialism was also negatively related to the 'quiet ego' and related constructs such as: mindfulness, satisfaction with life and generativity. Self-compassion, fears of compassion and the quiet-ego were also found to mediate the relationship between materialism and measures of well-being. The results are consistent with several theoretical explanations for the development of materialism. It is possible that increasing self-compassion, reducing fears of compassion and 'ego-quieting' procedures could be developed as methods of reducing materialistic tendencies.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0320.002

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 head0.023
GPT teacher head0.319
Teacher spread0.295 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2018
Admission routes1
Has abstractyes

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