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Record W3005437292

Tous tes enfants dispersés

2019· book· fr· W3005437292 on OpenAlexaboutno aff
Beata Umubyeyi Mairesse

Bibliographic record

VenueAutrement eBooks · 2019
Typebook
Languagefr
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtCartographyGeography
DOInot available

Abstract

fetched live from OpenAlex

Peut-on reparer l'irreparable, rassemble ceux que l'histoire a disperses?? Blanche, rwandaise, vit a Bordeaux apres avoir fui le genocide des Tutsi de 1994. Elle a construit sa vie en France, avec son mari et son enfant metis Stokely. Mais apres des annees d'exil, quand Blanche rend visite a sa mere Immaculata, la memoire douloureuse refait surface. Celle qui est restee et celle qui est partie pourront-elles se parler, se pardonner, s'aimer de nouveau?? Stokely, lui, pris entre deux pays, veut comprendre d'ou il vient. Ode aux meres perseverantes, a la transmission, a la pulsion de vie qui anime chacun d'entre nous, Tous tes enfants disperses porte les voix de trois generations tentant de renouer des liens brises et de trouver leur place dans le monde d'aujourd'hui. Ce premier roman fait preuve d'une sensibilite impressionnante et signe la naissance d'une voix importante.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.006

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 head0.041
GPT teacher head0.283
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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