Shifting Statuses and Lasting Codes in Janice Kulyk Keefer’s The Green Library
Bibliographic record
Abstract
Abstract: In most of her writings, mainly in the novel The Green Library (1996), the Ukrainian-Canadian writer Janice Kulyk Keefer offers what can be seen as a collection of case-studies of the forming, dissolving and re-forming in colonial and postcolonial history, of patterns of class belonging and class perception. By dissecting the concept of class into its dynamic components, Kulyk Keefer shows how movements and changes due to the passing of time, the forming of new nations and the massive migration from country to country disclose deeply embedded, albeit partly unconscious, elements of thorny and even dangerous classimages. DOI:- Bibliography: Esman, J. Milton. 2009. Diasporas in the Contemporary World . Cambridge UK- Malden, MA: Polity Press. Fanon, Franz. 1952. Peau noire masques blancs . Paris: Editions du Seuil. Goldmann, Lucien. 1973. Pour une sociologie du roman . Paris: Gallimard. Kulyk Keefer, Janice. 1996. From Dialogue to Polylogue . Difference and Community – Canadian and European Cultural Perspectives . Amsterdam-New York: Rodopi. Kulyk Keefer, Janice. 1998. Honey and Ashes – A Story of Family . Toronto: Harper Flamingo Canada. Kulyk Keefer, Janice. 1999. The Green Library . Toronto: Harper Collins Publishers. Lukacs, Gyorgy. 1971. History and Class Consciousness ( Geschichte und Klassenbewustsein . 1923. Translated by Rodney Livingstone) London: The Merlin Press. Said, Edward W. 1994. Culture and Imperialism [1993]. London: Vintage–Random House. Wicomb, Zoe. 2006. Playing in the Light . Johannesburg, SA: Umuzi–Random House.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.041 | 0.044 |
| Scholarly communication | 0.023 | 0.010 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".