<i>Charles de Gaulle: ‘portrait-mosaïque’</i> . Par É <scp>ric Vial</scp> <i>Charles de Gaulle: ‘portrait-mosaïque’</i> . Par VialÉric. (Champion Histoire.) Paris: Honoré Champion, 2017. 144 pp., ill.
Bibliographic record
Abstract
Éric Vial has produced an ideal stocking-filler for Gaullophiles: a book of de Gaulle quotations about the size of an Oxford Very Short Introduction. And rather more than that. Each of Vial’s six chapters, chronologically arranged, opens with an admirably concise biographical summary of the period; within each chapter, the quotations are grouped in short sections, with the occasional illustration. He casts his net wide before making a necessarily painful selection, interleaving material from the General himself with the views of admirers and critics, from Minute to Alain Krivine via Raymond Aron and Pierre Mendès-France. Alongside the obvious published sources (the War Memoirs, the Discours et messages, the Lettres, Notes et carnets) are the recollections of Philippe de Gaulle, Alain Peyrefitte, Claude Mauriac, and many others, plus the press, plus the critics’ memoirs, plus, on occasion, other people’s quotation books. My own favourite entry is probably de Gaulle’s verdict on his own Algerian record, noted by Jean-François Deniau: ‘C’est du boulot salopé. Je n’avais pas le temps’ (p. 84). If you teach de Gaulle, you will find here, in one place, many of the quotations you would wish for (although, frustratingly for anyone wanting to go back to the sources, the references lack page numbers). Meanwhile the casual Gaullophile will find a little book to dip into, or, as Vial claims, a portrait in fragments. The overall result, however, is too franco-français, and too smooth. I counted just ten non-French entries (three from Churchill; one each from Eisenhower, Galeazzo Ciano, Nixon, the Soviet embassy, Der Spiegel, The Times, and, curiously, Michael Foot): rather few for a figure who placed the world stage at the centre of his concerns, and they are mostly rather too nice (we do not get Harold Macmillan’s ‘He goes back to his distrust and dislike, like a dog to its vomit’). The selection tends to overstate de Gaulle’s consistency, whereas authors such as Jean Touchard (Le Gaullisme 1940–1969 (Paris: Seuil, 1978)) have highlighted the at times yawning gulf between the speeches and the memoirs. And it surely underestimates de Gaulle’s brutality. An important source unused by Vial is Jacques Foccart, whose Journal de l’Élysée (Paris: Fayard, 1997–98) gives us such frankly nasty utterances as ‘Vous commencez à m’emmerder avec votre RPF’ (from March 1953), or ‘J’aime mieux crever que d’aller au Canada porter un toast à la reine d’Angleterre’ (on his return from Montreal in July 1967), or ‘Voyez-vous, lui, il n’a pas de couilles, et ça, on n’y peut rien!’ (on Pompidou, in October 1967), or ‘Foutez-moi la paix avec vos nègres! Je ne veux plus en voir avant deux mois, vous entendez?’ (on visiting African heads of state, in November 1968). These are no more the ‘real’ de Gaulle than the speeches and memoirs, but they are certainly a part of the man. In the most striking mosaics, each fragment catches the light at a different angle; Vial’s, though constructed with enormous care, presents, in the end, too uniform a face.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.023 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".