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Record W2339078043

The Self-Contained Classroom Set-up: What it is and What it is not

2002· article· en· W2339078043 on OpenAlexaboutno aff
Alemayehu Debebe

Bibliographic record

VenueI.E.R. Flambeau · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsPostponementEconomic shortageQuarter (Canadian coin)Set (abstract data type)Class (philosophy)Government (linguistics)State (computer science)Mathematics educationComponent (thermodynamics)Power (physics)Scheme (mathematics)Political scienceSociologyPedagogyPsychologyComputer scienceHistoryEngineeringMathematicsOperations managementArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The practice of self-contained classroom set-up was very popular in the American education system until the first quarter of the 2cJh century. Thisinnovation evolved from the interest to tackle the then critical problem of teacher shortage in the United States. The earlier form of the scheme was introduced in an arrangement whereby a single teacher was responsible for the total instruction of a given class of students. This same scheme was adopted to the Ethiopian primary schools during the last decade of the Imperial rule. In 1974, when the socialist government took power, the practice ceased to exist. Again in 1994, after 20 years of postponement, the self-contained set-up has been taken as a component part of the New Education and Training Policy. However, regions like SNNPR and Tigray have not yet endorsed this component part of the NETP. The scheme seems to be laid off in Addis Ababa even though it is stnctly adhered to in Amhara Regional State. Thus this study investigates the concepts and controversies attached to the self-contained classroom utilization with a focus on the American as well as the Ethiopian experiences.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.035
GPT teacher head0.315
Teacher spread0.280 · 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.

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

Citations1
Published2002
Admission routes1
Has abstractyes

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