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Record W17128090

Le Liban de Richard Millet : entre mémoire et imagination

2013· dissertation· en· W17128090 on OpenAlex
Hala Dika

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

VenueRevue Neurologique · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Amotrophic lateral sclerosis diagnosis is based on clinical and electrophysiological findings. Transcranial magnetic stimulation and MRI can show abnormalities which are not specific, but which can confirm upper motor neuron involvement. The other tests are performed to exclude differential diagnosis. Tests which should be performed in every cases are: medullar MRI, blood counts, erythrocyte sedimentation, serum protein electrophoresis, calcium, phosphore, serological tests for HIV, siphylis, Lyme disease. Other tests are made in some clinical circonstances to exclude genetical disease or metabolic disorders (SMN gene, Kennedy gene, Hexosaminidase A, very long chaine fatty acids), haematological or paraneoplasic disorders (anti-neurons antibodies, PSA, CT of chest and abdomen, mammography, bone marrow biopsy) or inclusion myositis (muscle biopsy).

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)0.001
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: none
Teacher disagreement score0.891
Threshold uncertainty score0.915

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.280
Teacher spread0.269 · 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