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Record W2102595802 · doi:10.3968/7704

Recent College Graduate Village Official Career Migration Issues Research

2015· article· en· W2102595802 on OpenAlexvenueno aff
Hongwei Yuan

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsChinaPosition (finance)Christian ministryPolitical scienceSociologyPublic relationsPsychologyLawBusiness

Abstract

fetched live from OpenAlex

Migration is the cognitive characteristic of individual situations with support and interaction between contexts to produce results. In changing roles from college students to village officials, for students in the new rural construction position, the replacement of the position will be a direct occupation of the migration in the process of the college students’ career transfer. This includes the pressure of public opinion, college students’ awareness of the village officials, and the importance of attention, which affects the smooth progress of the occupation. Whether college students’ careers change smoothly or not is directly related to the implementation of the policy of Chinese college students village officials. From the perspective of professional migration analysis of the problems existing in college student village official in new rural construction, this article attempts to review the feasibility of the scheme with the hopes of playing a role in the cause of the college students village officials in China. The data for this paper comes from Key Projects of Philosophy and Social Science Research, Ministry of Education, the University Student Village Official Growth Statistical Data Talent Mechanism, using a random sampling method of the whole of China City. 4,528 questionnaires were recovered, minus the invalid questionnaires of 276, so the effective questionnaires rate was 93.9%.

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)0.006
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.275
GPT teacher head0.442
Teacher spread0.167 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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