MétaCan
Menu
Back to cohort
Record W1577271473

One Laptop per Child and Uruguay's Plan Ceibal: Impact on special education

2010· dissertation· en· W1577271473 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Atrium (University of Guelph) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicInclusive Education and Diversity
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLaptopPlan (archaeology)PsychologyPolitical scienceMathematics educationGeographyComputer scienceOperating systemArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an investigation of the impact of one-to-one computing on special education in Uruguay. In partnership with One Laptop per Child (OLPC), the Uruguayan government has been successful in providing every primary student of the public school system with a personal laptop under an initiative entitled Plan Ceibal (Basic Computer Educational Connectivity for Online Learning). The study findings show that the one-to-one computing model has had a significant impact on learning outcomes within Uruguayan special education classrooms, due to a combination of learning opportunities afforded by the OLPC laptop, teacher support, and the unique didactic approach of special education. Outcomes are most notably observed in relation to classroom dynamics, student motivation, literacy and communication.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.275
Teacher spread0.260 · 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