MétaCan
Menu
Back to cohort
Record W4365519474 · doi:10.54254/2753-7048/2/2022429

The Influence of Family Factors on College Students' Self-esteem

2023· article· en· W4365519474 on OpenAlexaff
Yiran Fang, Zheng Liu, Yunci Zhao

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2023
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsFluidigm (Canada)
Fundersnot available
KeywordsSelf-esteemPsychologyMental healthFunction (biology)Social psychologyDevelopmental psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Self-esteem, generally refers to an evaluation made and usually held by individuals, which is one of the important factors affecting individual mental health. Nowadays, society pays more and more attention to college students' mental health. As an important index, self-esteem is of great significance to promote college students' psychological development and improve their self-esteem. Some researchers have pointed out that an individual's self-esteem level is affected by the family environment in which he grew up. As a system, the total body function of the family has a great influence on the level of individual self-esteem. In recent years, more and more researchers have found that there are certain limitations in the research paradigm of examining one or some family factors alone, so they turn to the family as a system, put forward the concept of family function, and investigate the influence of family as a system on individuals. This review selects the special group of college students as the research object, focuses on the impact of family factors on College Students' self-esteem, and discusses the relationship between College Students' self-esteem and family factors such as family background and family relations.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.392
Teacher spread0.365 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueLecture Notes in Education Psychology and Public MediaSame topicHealth and Well-being StudiesFrench-language works237,207