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Study on Research Management in Universities under Guidance of “People-Oriented” Concept

2010· article· en· W2102898925 on OpenAlexvenueno aff
Hua Ge, Huiyuan Mao, Xiaohui Chen

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEnthusiasmPolitical scienceSociologyPsychologyPhilosophySocial psychology

Abstract

fetched live from OpenAlex

Enhancing management of research work is the premise of consistent development in universities, which requires the “people-oriented” managing concept, the initiative, enthusiasm and creativity of the research staff as well as the managing members to ensure effective realization of the research object. In addition, environment should be improved favorably to facilitate overall and free development of the research faculty and the managing members. Key words: scientific development concept; people-oriented; concept of management Resume: L’amelioration de la gestion des travaux de recherches scientifiques est une condition indispensable pour realiser le developpement durable des colleges et des universites. Pour assurer la realisation des objectifs des recherches scientifiques, il faut adopter le concept de People-oriented dans la gestion, mobiliser l'enthousiasme et la creativite des chercheurs scientifiques et des gestionnaires des projets de recherches scientifiques. En meme temps, il faut aussi creer les conditions favorables pour l’epanouissement du personnel scientifiques. Mots-cles: le concept de developpement scientifique ; le concept de People-oriented; le concept de gestion 摘 要:加強對高校科研工作的管理是實現高校可持續發展的不可或缺的必要前提。在高校科研管理中,確立“以 人為本”管理理念,調動科研人員和科研管理人員的主動性、積極性和創造性,以保證科研工作目標的有效實現。 積極創造條件,努力促成科研人員和科研管理人員的全面自由發展。 關鍵詞:科學發展觀;以人為本; 管理理念

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.304
GPT teacher head0.611
Teacher spread0.308 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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