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Record W2284463066

The first African School of Physics

2010· article· en· W2284463066 on OpenAlexaboutno aff
Carolyn Lee

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsMathematics educationPsychology
DOInot available

Abstract

fetched live from OpenAlex

The first African School of Physics (ASP2010), a new physics school that will combine scientific learning and technology transfer, is to be organized in South Africa with the support of various institutes and laboratories from Europe and the US. Christine Darve, the head organizer and an accelerator engineer from Fermilab currently working in CERN's Technology Department, provides some insight into the programme's mission. Christine Darve was previously the secretary of a ‘Physics Without Borders’ meeting in Sarajevo, an experience that fuelled her passion to help the less fortunate to benefit from developments in science. After meeting Steve Muanza, a physicist of Congolese descent who visited Fermilab in 2004, she initiated steps to organize a physics school that would bring scientific learning and technology transfer from European and American institutes to Africa. A physicist at IN2P3, the Centre de Physique des Particules in Marseilles, Muanza is the director of this first African Physics School, which will take place from 1 to 21 August at the National Institute for Theoretical Physics (NITheP) in Stellenbosch near Cape Town. “Physics at CERN is a global venture, but not many African scientists are involved,” explains Christine Darve. “There are not a lot of teachers and professors in Africa who teach physics, so many African students study in places such as Europe and the US.” Currently, there are 51 researchers from Africa at CERN, 18 of whom are from African institutes. “Sub-Saharan African countries are under-represented in CERN’s collaborations”, confirms John Ellis, CERN’s advisor for non-Member States. “Among other objectives, this new type of school will help to consolidate existing and emerging collaborations, and may start new ones”. Out of 150 applications received, 59 students have been selected to take part in the programme. “Of these students, 40 are from 17 different African countries, nine others are from Stellenbosch University, and another 10 are from outside Africa, including the Netherlands, Canada and Spain”, explains Christine. All of the African students will have their entire trip expenses covered by the school, which is supported by various institutes in Europe and the US. “In addition to its generous support, CERN will cover the travel fees for several talented lecturers and Fermilab will offer two International Fellowships,” says Christine. The school programme focusses on three main topics: theoretical subatomic physics, experimental subatomic physics, and accelerators and technology. During the final week two days will be spent at South Africa’s iThemba Lab. “iThemba Lab is a place where you have cyclotrons and R&D based in South Africa. They also study medical and other applications,” says Christine. A practice lab will allow students to learn about detector instrumentation, and an open forum day will provide information about technology transfer, including lectures and video links to CERN. “It is important to link the end of the school, which is focused on applications and accelerators, with the real world,” says Christine Darve. “We would like to be able to motivate people locally, because physics is a wonderful field, but also because this is a chance to transfer our knowledge and help everyone in society to benefit.” For full information about the programme of the school and a full list of the sponsors, speakers and logistics, please visit: http://AfricanSchoolofPhysics.web.cern.ch/.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2010
Admission routes1
Has abstractyes

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