MétaCan
Menu
Back to cohort
Record W7008572291

C'est la fin de l'histoire

2005· other· fr· W7008572291 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2005
Typeother
Languagefr
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Context (archaeology)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

Une animation musicale qui traite de "la fin de l'histoire"! Est-il possible que nous vivions le déclin le plus catastrophique de l'humanité? Tous les personnages de ce court métrage ont un point en commun : ils consomment la vie sans retour. Dans cette comédie musicale satirique et cynique, vous découvrirez que l'apocalypse commence ici, au Québec, par l'anéantissement subtil de notre culture, notre morale, notre religion, notre économie, notre système social, nos rapports intergénérationnels, notre environnement... notre société. Une autre manière de concevoir le sujet de la consommation, disons un peu plus philosophique et conséquente que celle projeté par les médias dominants. Il sagit d'un vidéoclip véritablement horrible, alors amusez vous amèrement!

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)0.002
metaresearch head score (Gemma)0.007
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 score0.072
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0720.021

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 head0.006
GPT teacher head0.175
Teacher spread0.169 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of Miscellaneous Information (Royal Gardens Kew)Same topicOrganizational and Employee PerformanceFrench-language works237,207