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Record W3094024999 · doi:10.23977/aetp.2020.41017

The Concrete Presentations of the “Anomie” of Teachers' Code of Morality in Rural Junior High Schools

2020· article· en· W3094024999 on OpenAlexvenueno aff
Bohua Lou, Qingqing Li

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2020
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsMoralityAnomieSociologyPsychologyAction (physics)PedagogySocial psychologyLawPolitical science

Abstract

fetched live from OpenAlex

“To run education that satisfies the people”, the teacher is the most vital factor. The rural education is recognized as the short slab of education. There are eight concrete presentations of the “anomie” of the teachers’ code of morality in rural junior high schools : the shake of teachers’ ideal and the disappearance of identity; the fading of responsibility and reluctance to communication; negative and down attitudes and serious complacency; inattention to the discipline of school and ignorance to the rules; backward teaching ability and the lack of professional skills; the decline of ethic and unequal treatment to students; undisciplined work style and impertinent word and action; the tendency to personal interest. It is primary and necessary to clarify the problems above, so in this way it could make the “anomie” of teachers’ code of morality in rural junior high schools return to “standardization” and turn to “demonstration”.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.025
GPT teacher head0.402
Teacher spread0.377 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

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