MétaCan
Menu
Back to cohort
Record W4390465939 · doi:10.23977/aetp.2023.071812

Exploration of the Path of College Students' Self-worth Realisation under the Perspective of Humanistic Theory

2023· article· en· W4390465939 on OpenAlexvenueno aff
Fanghong Li

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanismMaslow's hierarchy of needsConnotationDignityHumanistic psychologyValue (mathematics)Engineering ethicsSociologySelf-actualizationPsychologyPerspective (graphical)PedagogyEpistemologySocial psychologyPolitical scienceLawComputer scienceEngineering

Abstract

fetched live from OpenAlex

Along with the development of our society and the progress of education, the integration of psychological theory in college education has become one of the important contents of educational reform.Among them, Maslow's humanistic theory occupies a place in psychology. The main content of humanistic theory is: in the process of growth and development, people need to be fully affirmed their own value, dignity and self-realization needs.The theory of humanism holds that all human beings have potential, which needs to be realized and developed.College students are an important force for the development of our country. However, with the rapid development of economy and constant change of society, they have not only had many opportunities and hopes in the process of realizing their self-worth, but also faced severe challenges and tests.In order to help college students correctly understand the connotation of self-value and realize the all-round development of their own quality, they should be actively guided in psychological thought to lead them to realize their self-value.This paper analyzes and discusses how to use humanism theory to lead college students to realize their self-value.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.042
GPT teacher head0.404
Teacher spread0.362 · 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 designTheoretical or conceptual
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Educational Technology and PsychologySame topicLeadership, Courage, and Heroism StudiesFrench-language works237,207