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Record W2275125952 · doi:10.1093/fs/knt123

Literature and Painting in Quebec: From Imagery to Identity <i>Literature and Painting in Quebec: From Imagery to Identity</i> . By W <scp>illiam</scp> J. B <scp>erg</scp> . Toronto: University of Toronto Press, 2012. xii + 382 pp., ill.

2013· article· en· W2275125952 on OpenAlexaffabout
Kirsty Bell

Bibliographic record

VenueFrench Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Literature and Poetry
Canadian institutionsMount Allison University
Fundersnot available
KeywordsPaintingIdentity (music)ArtArt historyVisual artsMountHistoryMedia studiesSociologyAestheticsComputer science

Abstract

fetched live from OpenAlex

The intersection between literature and painting is an ever-growing field of scholarly inquiry. William J. Berg's study offers a history of crossovers between the two, with particular focus on the ideas of landscape (and the related concepts of nature, culture, place, and space) in Quebec. From Jacques Cartier to Monique Proulx, Berg traces a long trajectory that convincingly demonstrates multiple ways in which Quebec culture has constructed an identity through its representations of landscape. Berg's analyses are detailed and his structure is clear, and he makes interesting use of a wide variety of primary sources: journals, diaries, novels, short stories, songs, maps, and paintings. The book is also well illustrated, with forty images supporting the close readings Berg proposes of his selected pictorial and literary works. These strategies and approaches allow him to underline the extent to which painting and literature are rich in cultural significance. The book draws its strength from Berg's varied examples and from the original connections he makes between works that are not usually analysed together. However, even taking into consideration the fact that no study can be exhaustive, there seem to be two striking absences. First, in examining the question of identity in Quebec (especially within a broad framework that extends from the sixteenth century to the 1990s), it would be relevant to take into consideration the treatment of landscape and identity by First Nations authors and/or painters. It is surprising that, while Berg does examine some literary and pictorial examples created by white francophone authors or painters that address the multiple associations between identity, landscape, and Canada's First Nations, he does not include any words or images by Aboriginals. Furthermore, the study does not really investigate the highly problematic colonial relationship between early settlers and First Nations, or between contemporary francophone Quebec and First Nations. Such a matter surely has a bearing on how French Canadians and First Nations have represented nature, how they experienced and changed the natural world around them (and continue to do so). The second omission is that of immigrant voices in contemporary Quebec literature. As Quebec tries to come to terms with what it means to be a Quebecker in the twenty-first century, it grapples with the roles and influences of its immigrant population. Berg looks at the representation of ethnic diversity in Proulx's Les Aurores montréales, but a discussion of the numerous celebrated authors from other countries who have meaningful insights to offer on the question of landscape and identity in Quebec is not included in the book. Such pluralistic visions would offer not only an interesting dimension to this study, but also a more complete account of issues of nature, culture, and identity in late twentieth- and early twenty-first-century Quebec. These reservations aside, the book's range, solid documentation, perceptive conclusions, and novel juxtapositions of the works studied make it of interest to students and scholars of Quebec's rich literary and artistic history.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.634

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0130.010
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0470.002

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 head0.009
GPT teacher head0.211
Teacher spread0.202 · 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
GenreReview

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

Citations2
Published2013
Admission routes2
Has abstractyes

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