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Record W801070547

Paul Schliesmann. Honour on Trial: The Shafia Murders and the Culture of Honour Killings

2014· article· en· W801070547 on OpenAlexvenueaboutno aff
Yasmin Jiwani

Bibliographic record

VenueCanadian ethnic studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHonourWifeSociologyLawImmigrationHistoryCriminologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Paul Schliesmann. Honour on Trial: Shafia Murders and the Culture of Honour Ontario: Fitzhenry and Whiteside, 2012. 207 pp. $21.95 sc. Shafia trial attracted unprecedented attention in the local, national and international media. Described as a heinous case involving the honour killings of four of the Shafia female family members, it symbolized how an immigrant family chose to punish its own for violating cultural codes. According to media accounts, it was a classic tale of clash with the key words being immigrant origins and tribal, patriarchal cultures. Schliesmann, a reporter, followed the trial through its three-month span at the local Kingstone courthouse, in geographic proximity to the site of the crime--the Kingston Mills locks. There, as Schliesmann documents, in 2009, a car was found submerged in the canal. Four dead bodies were found belonging to Zainab, Sahar and Geeti Shafia (aged 19, 17 and 13, respectively), and Rona Amir (aged 52). three younger women were daughters of Mohammad and Tooba Yahya Shafia, while Rona was Mohammad Shafia's first wife. Schliesmann offers a journalistic account of the trial recounting the evidence presented, the arguments of the prosecution and defence, and testimonies presented by numerous witnesses. Each chapter tours through the different facets of the case--from the initial investigation and interrogation by the Kingston police to the arguments presented in court. Honour on Trial is an easy read, accessible to a wide audience but lacking in any kind of scholarly analysis. Though Schliesmann includes a concluding chapter where he recounts other honour killing cases in Canada, there is little in the book that interrogates the very definition of the crime as an honour killing. book reads as a fast and condensed collection of details concerning the case, which makes it ideal for the general public interested in such crimes. However, there is scant attention paid to the very construction of this crime as a high profile event capturing mass media spotlight at this particular historical juncture. While Schliesmann does not promise any kind of analysis, the book's front cover suggests otherwise: The Shafia Murders and the Culture of Honour Killings. What is the of honour killings'? And how is being understood in this particular context? A reading of the text suggests that a number of critical assumptions underpin Schliesmann's recounting of the case. In the discussion that follows, I take up some of these assumptions, arguing that many are embedded in a discourse of Orientalism, which as author Edward Said has eloquently argued, constructs a particularly unfavourable view of the Orient as the Other, and in which the Orient represents everything that is opposite and inferior to the West. My discussion is not intended to discount the horrendous murders of these women, or to minimize the violence they suffered. Rather, I wish to draw out and expand on the kinds of taken-for-granted assumptions that underpin even empathic accounts of femicides involving women from racialized communities. In his introduction to the book, Schliesmann argues, With the murders, it became obvious that a new wave of immigration had brought with it challenges for young women wanting to fit into Canadian culture (xi). …

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.367
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2014
Admission routes2
Has abstractyes

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