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Record W2900732430

Serge Fiori : S'enlever du chemin : Biographie

2013· book· fr· W2900732430 on OpenAlexaboutno aff
Louise Thériault

Bibliographic record

VenueLes Editions du CRAM eBooks · 2013
Typebook
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Pres de trente-cinq ans apres la dissolution du mythique groupe Harmonium, Serge Fiori se livre a Louise Theriault, qui dresse de lui un portrait tout en nuances, plein d'empathie mais jamais complaisant. Grâce a des dizaines d'heures d'entrevues ? tant avec Fiori lui-meme qu'avec ceux qui ont jalonne sa vie personnelle et professionnelle ?, l'auteure nous relate, depuis son enfance italienne jusqu'a l'eclosion de son immense talent, comment Serge est devenu Fiori, comment Harmonium est ne et a vecu, dans un Quebec en pleine effervescence culturelle et politique. Sa relation a son pere et a sa mere, sa peur de la folie, sa spiritualite, son rapport complexe aux autres musiciens, son engagement politique, le culte de la personnalite que lui vouent ses admirateurs et qui le depasse, les raisons de son retrait de la vie publique; rien n'echappe a la plume tout en finesse de Louise Theriault, qui fut son amoureuse, puis son amie et sa confidente. Elle nous raconte la carriere desormais dans l'ombre que mene Serge Fiori depuis cette rupture, depuis qu'il s'est «enleve du chemin», ronge par le doute et l'angoisse, et sa vie personnelle jusqu'a aujourd'hui. Un portrait fascinant, un plongeon au c?ur de l'âme et de la fragilite d'un homme qui a consacre sa vie a la musique, mais dont l'ego n'a jamais atteint l'immense ampleur de son talent.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.693
Threshold uncertainty score0.610

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.009
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0160.002

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 head0.013
GPT teacher head0.195
Teacher spread0.182 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2013
Admission routes1
Has abstractyes

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