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Record W7025120555

Webbbaserat magisterprogram i energiteknik. Slutrapport

2009· report· en· W7025120555 on OpenAlexaff

Bibliographic record

VenueGothenburg University Publications Electronic Archive (Gothenburg University) · 2009
Typereport
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsEngineering Link (Canada)
Fundersnot available
KeywordsNucleofectionHyporeflexiaGestational periodArticular cartilage damageTSG101Pretext
DOInot available

Abstract

fetched live from OpenAlex

A Master/Magister program in sustainable energy engineering was planned and developed as part of the project “Webbbaserat magisterprogram i energiteknik”, sponsored by NSHU. The program had substantial discussions during the preparation phase and substantial progress was made towards a common strategy from the six partner universities (Umeå, Gävle, Linköping, Uppsala, Karlstad, KTH) who decided to participate in the endeavour. The program was first launched in 2007 with 18 initial students. It was re-launched in 2008 with 15 students and is now in the application phase for the fall 2009 intake. \n\nThe present report covers the final part of the project from the point of view of NSHU, but the educational efforts, and the cooperation between most of the partners, will continue into the fall 2009 intake at least, with own funding from the partner universities. The continuation of the project for 2010 onwards will be re-evaluated in the autumn 2009 based on decisions by the Swedish government regarding eventual tuition fees for non-European students.\n\nThis final report covers the background to the application, the development phase and gives some conclusions of what went well and where the major challenges were.\n\nThe project has been used as example for a national cooperation in the energy education at a few workshops and keynote speeches at conferences over the last two years.

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 score0.836
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.002
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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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
Published2009
Admission routes1
Has abstractyes

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