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Record W7035820400

Analyse du regard de trois quotidiens français sur l'Algérie postcoloniale : 1962-1971

2012· other· fr· W7035820400 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typeother
Languagefr
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismEmpirePopulationPower (physics)Spanish Civil WarDecolonization
DOInot available

Abstract

fetched live from OpenAlex

L’empire colonial français se désagrège à partir des années 1950. Après la perte des colonies fondées au Maroc et en Indochine, la France doit faire face à la sécession de sa plus importante colonie, l’Algérie. La population française accepte difficilement cette sécession puisqu’il ne s’agit pas uniquement de la chute de l’empire colonial mais aussi de la destruction d’idéaux qui lui étaient chers. Plus que la peur de ne plus être un empire colonial, les Français redoutent la perte de leur statut de puissance mondiale et de leur vision de pays possédant une mission civilisatrice. Pour comprendre l’évolution de la perception de l’Algérie en France après la décolonisation algérienne à travers plusieurs courants de pensée, ce mémoire se penche sur les éditoriaux publiés dans trois journaux français (Le Figaro, L’Humanité et Le Monde) entre 1962 et 1971 qui traitent d’événements qui se sont déroulés en Algérie. Il se penche plus particulièrement sur le terrorisme de l’OAS au moment de l’indépendance algérienne, le conflit au sein du Front de Libération Nationale (FLN) pour décider qui détiendra le pouvoir, le conflit avec le Front des Forces Socialistes (FFS), la guerre avec le Maroc, le coup d’état de Boumedienne et la nationalisation du pétrole algérien.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.274
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.141
Teacher spread0.135 · 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
Published2012
Admission routes1
Has abstractyes

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