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Regional Difference in Distribution of China's Colleges and Universities and Its Impact on the Equality in Access to Higher Education

2010· article· en· W2153023795 on OpenAlex
Shen Hong-min

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsChinaHigher educationDistribution (mathematics)InequalityEconomic growthPolitical scienceAccess to Higher EducationDemographic economicsSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

The inequality in higher education recruitment chances among various regions in China has been a much talked about subject and has triggered a number of discussions in recent years. Yet the systematic empirical study on this topic has not been carried out. This paper is an empirical effort to study the nature and reasons of inequality in access to higher education in China. The key questions asked in this study are, What is the impact of the imbalance in the regional distribution of higher education institutions on equal educational opportunities for students? And How has the regional distribution of higher education institutions formed and evolved in China? This paper traces back the historical process for the formation of regional distribution pattern of China’s higher education institutions, and through statistical analysis, discusses the influence of the imbalance in regional distribution of higher education institutions on students’ chances for higher education. The authors’ main findings are that, (1) The imbalanced regional distribution pattern of China's higher education institutions was mainly formed during the readjustment of departments and colleges in 1950s. Later, although the overall number of colleges and universities during the periods of Great Leap Forward (1958-1960) and the Cultural Revolution (1966-1976) fluctuated, the basic distribution pattern had not changed too much until 1990s. (2) There are two main reasons for the inequality in the chances for the students to be recruited by colleges and universities among different regions in China. One is the imbalance in regional distribution of colleges and universities, the other is the enrolment system with the planned number of students to be enrolled being based on provinces. The latter, in an institutionalized way, transforms the imbalance in regional distribution of colleges and universities into the difference in recruitment mark lines in different regions, and thus leads to the inequality in chances for being recruited by colleges and universities. Key words: China's higher education, Inequality in access to higher education, imbalanced regional distribution. Resume: L’inegalite de chances dans le recrutement de l’education superieure parmi les differentes regions en Chine a ete un sujet beaucoup parle et a provoque de nombreuses discussions dans les dernieres annees. Mais une etude empirique et systematique sur ce probleme n’a pas encore ete entreprise. Cet article est un effort empirique pour etudier la nature et les raisons de l’inegalite de l’acces a l’education superieure en Chine. Les questions clefs posees dans cette etude sont comme suite : quel est l’impact du desequilibre de la distribution regionale des institutions d’enseignement superieur sur les opportunites educatives des eleves? Comment la distribution regionale des institutions d’enseignement superieur a forme et evolu en Chine? Cet article decrit le processus historique de la formation du modele de la distribution regionale des institutions superieures de Chine, et discute, par l’analyse statistique, les influences du desequilibre dans la distribution regionale des institutions d’enseignement superieur sur les chances des eleves pour l’education superieure. Les conclusions principales que l’auteur a tirees sont: (1) le modele de la distribution regionale desequilibree des institutions d’enseignement superieur a ete forme pendant le rajustement de departements des instituts et universites dans les annees 1950. Apres, bien que le total des institutes et universites durant la periode du Grand Bond en avant (1958-1960) et la Revolution culturelle (1966-1976) ait fluctue, le modele de distribution fondamental n’a pas beaucoup change avant les annees 1990. (2) Il y a deux raisons pour expliquer l’inegalite des chances pour les eleves d’etre admis par les instituts ou universites parmi les diverses regions chinoises. L’une est le desequilibre de la distribution regionale des institutions ; l’autre est que le systeme de recrutement qui definit le nombre des etudiants recrutes selon les provinces. La deuxieme, d’une maniere institutionalisee, transforme le desequilibre de la distribution des instituts et universites en difference du niveau de notes dans de differentes regions, et conduit a l’inegalite des chances d’etre recrute par les instituts et universites. Mots-Cles: education superieure de Chine, inegalite de l’acces a l’education superieure, distribution regioale desequilibree

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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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.734

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 studies0.0010.001
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 head0.037
GPT teacher head0.356
Teacher spread0.319 · 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