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Record W6927821867 · doi:10.34880/0vv5-hy90

School Success for Roma Children: Step by Step Special Schools Initiative Interim Report

2021· report· en· W6927821867 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Society Foundations · 2021
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamInterimRemedial educationSpecial educationCurriculumTest (biology)ConvictionCzech

Abstract

fetched live from OpenAlex

Roma children experience little success in schools in Central and Eastern Europe. While much research has examined the socioeconomic conditions that contribute to their academic failure, very few models of successful education have been created. The Step by Step Roma Special Schools Initiative developed and tested a model that focuses on creating conditions that foster educational success for Roma children. This pilot project, supported by the Open Society Institute in New York, has been in existence since the Fall of 1999 in special schools in Bulgaria, Czech Republic, and Slovakia, and in special schools and remedial classes in mainstream schools in Hungary. The project operates under the auspices of the national Step by Step NGO's that are all members of ISSA, the International Step by Step Association. An international coordinating team works with national teams to support and monitor project implementation. The project is based on the conviction that Roma children are mislabeled "mentally handicapped" and misplaced in special education. Our hypothesis was that, given appropriate conditions for learning, the majority of Roma children are capable of academic achievement to the level of mainstream curriculum standards. Proactive Information Services Inc., an educational evaluation company whose clients include ministries of education throughout Canada, was contracted to provide an independent test of the project's hypothesis and to lead a team of national researchers. Distinguished researchers from each country collected and analyzed additional data required by their national ministries of education.

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.089
GPT teacher head0.405
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOpen Society FoundationsFrench-language works237,207