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Record W4205862919 · doi:10.1353/wlt.2016.0036

Tout ce qu'on ne te dira pas, Mongo by Dany Laferrière

2016· article· fr· W4205862919 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Literature Today · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerFyodorArtHistoryLawGenealogyLiteratureSociologyPolitical science

Abstract

fetched live from OpenAlex

of Ukrainians when the Soviets confiscated their crops; and wholesale murders of Ukrainians by their fellow countrymen who were co-opted by the German-controlled local police force. Khemlin’s story allows us to feel the ways in which these tragedies cast a permanent shadow on the place and reverberate in the psyche of its people. Misha is a midlevel police officer in the town of Chernigov (also Khemlin’s hometown ) investigating the apparent murder of Lilia V., a single woman in her mid-thirties. Lilia’s murder and the later suicide of Misha’s best friend turn out to be linked, and Misha shuttles back and forth between Chernigov and its neighboring villages in search of clues and a cache of gold that seems somehow connected to the murder. All the while a nosy neighbor of Lilia V.’s, Laevskaya, manages to constantly be in Misha’s way and even finds the presumed murder weapon, exposing Misha to her relentless ridicule of his shoddy investigative work. The novel’s irrational tone and twisty plot owe a debt to Fyodor Dostoevsky’s The Brothers Karmazov in featuring a cast of high-strung villagers whose absurd actions and exaggerated reactions obfuscate resolution of the murder. Khemlin’s Misha is a memorable character, distasteful in his anti-Semitism, sexism, and misplaced arrogance but playfully drawn to reveal aspects of his humanity and warmth. In fact, the majority of characters in The Investigator are imbued with moral ambiguity not only regarding possible connections to Lilia V.’s murder but also their families’ roles in Ukraine’s recent past, a blurring of the distinctions between perpetrators and victims . Misha gives his account of the murder investigation in a resigned voice punctuated with sardonic wit. It is a sensibility that feels authentically Ukrainian, and we all are poorer for prematurely losing such a fun and gifted storyteller as Khemlin. Lori Feathers Dallas, Texas Dany Laferrière. Tout ce qu’on ne te dira pas, Mongo. Montreal. Mémoire d’encrier. 2015. 299 pages. Tout ce qu’on ne te dira pas, Mongo (Everything they won’t tell you, Mongo) is Dany Laferrière’s first new book since his induction into the Académie Française. An immigrant to Montreal born in Haiti, Laferrière is the only writer in history from either of these countries to have joined the Immortals. In keeping with his now-consecrated place in francophone literature and with the tone of his last two books, Laferrière’s alter-ego narrator in Mongo is no longer the enfant terrible of his earlier works but a jaded sage dispensing advice to the younger generation. Here the narrator (which in classic Laferrière style both is and is not the author himself) bestows his knowledge and experience upon the fictitious Mongo, a recent immigrant to Montreal from Cameroon. Hodgepodge in structure, the first half of Mongo intersperses observations from the narrator’s notebook, transcripts from his Sunday-morning cultural commentary radio program, and scenes from café life in which he chats with Mongo and his Li Ang The Lost Garden Trans. Sylvia Li-chun Lin & Howard Goldblatt Columbia University Press Spanning generations of political struggles in Taiwan, a place that has seen much strife and political uncertainty, The Lost Garden recounts this history as related to one family and the complicated love story between Zhu Yingyong from an old, established family and Lin Xigeng, who has made his own fortune. The lush, descriptive narrative immerses the reader in the humid garden of the title that sits at the core of the novel, standing for history, desire, and family. Jonathan Levi Septimania The Overlook Press Jonathan Levi takes us on a rollicking journey through European and Near Eastern culture with this dizzying story of an organ tuner who discovers an unexpected heritage while searching for his lost love. This novel, Levi’s second in nearly twenty-five years, stretches the boundaries of the possible while never losing its focus on the frailties and triumphs of the human heart. Nota Bene WORLDLITERATURETODAY.ORG 95 white Quebecoise girlfriend. While the café scenes bring Laferrière closer to the fiction he used to write, the majority...

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.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.279
Teacher spread0.263 · 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