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Record W4245542534 · doi:10.4018/9781615209972.ch013

iREACH

2011· book-chapter· en· W4245542534 on OpenAlexaffabout
Helena Grunfeld, Seán Ó Siochrú, Brian Unger, Sarun Im

Bibliographic record

VenueIGI Global eBooks · 2011
Typebook-chapter
Languageen
FieldChemistry
TopicChemistry and Stereochemistry Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

Cambodia is for various reasons a challenging environment for ICT development. This did not deter IDRC (Canada) from funding an ambitious and ground-breaking project designed ultimately to influence ICT policy in Cambodia but initially to establish two pilot community-owned networks in poor rural areas. Each comprises both a cluster of local telecentres (10 in each area), and a mini telecoms enterprise run by the communities. Begun in May 2006, with initial funding of USD1.3 million the project runs to May 2010 when the question of sustainability comes to the fore. Additional support is likely to be needed. iREACH‘ experiences are being fully documented and lessons are emerging around community capacity building and empowerment; technical challenges in a rural environment; developing relevant and appropriate services; creating a community based enterprise; deploying a range of participatory monitoring and evaluation approaches; and working within a centralised and fluid political contextRequest access from your librarian to read this chapter's full text.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.612
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.233
Teacher spread0.207 · 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 designTheoretical or conceptual
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
Published2011
Admission routes2
Has abstractyes

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