Meaning of 9/11 for two Pakistani communities: from external intruders to the internalisation of a negative self-image
Bibliographic record
Abstract
Since September 11, the increase in international tensions and the subsequent wars in Afghanistan and Iraq have created turmoil and fears in immigrant communities, fanned by the media in the context of the war against terrorism. This paper aims to compare the meaning systems evoked around 9/11 within two Pakistani groups-an immigrant community in Montreal and a group in Karachi. It also intends to examine the representation of themselves and of the 'Other' within these two groups. Results suggest that both Karachi and Montreal Pakistani respondents favour a conspiracy scenario which protects the Muslim community from the responsibility of 9/11 events. They refer to an argumentation process based on 'proofs', thus mirroring the political rhetoric used by the US government and its allies to justify the military intervention in Iraq. In the Montreal group, the pervasive feeling of fear and the bleak image that the community has of itself support the hypothesis of an immigrant internalisation of the negative representations of Muslim and South Asian identities in the North American context. The negative self-image observed in these minority groups indicates that more effort than ever should be dedicated to understanding the impact of the present international context on minority-majority relations in multi-ethnic societies. It is as if America is sitting right here in the living room with us … We have to ask them permission to breathe. (Parveen, Karachi).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.027 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".