Bibliographic record
Abstract
The “war on terror” has become one of those discursive moral high groundsthat, in reality, serve as a smokescreen to conceal the imperial ambitions of apolitical elite. While the corporate media generally supports this elite by(mis)informing the general public about the war’s “progress,” more pertinentthreats fail to attract the same kind of political attention (and general handwringing) associated with the “green menace.” I could be referring to globalwarming, which some scientists consider one of the greatest threats to humanlife, or to the spread of such deadly diseases as the H1V avian flu virus.Actually, I am referring to organized crime and its links to biker gangs.On 8 April 2006, the worst mass murder in recent Ontario historyoccurred near Shedden, a small southwestern town where the bodies of eightmen were found in a local farmer’s field. Police arrested five people, includinga Bandido motorcycle club member. The killings were club related, as thevictims were members or associate members of the club. The Bandidos are a“outlaw” biker motorcycle club, held to represent that 1 percent who engagein criminal activity. As is usually the case, this minority wreaks havoc by itsmembers’ involvement in car/motorcycle theft, drugs, prostitution, gun trafficking,and similar criminal activities. They also contribute to gun-relateddeaths and maimings, drug addiction, and theft.Given this reality, biker gang-related activities are of grave concern tocommunity health and safety. And yet the West’s public venom is mostly preservedfor Muslims, most of whom are peace-loving people seeking to livequiet productive lives in safe neighborhoods. It is this overarching discourseof the supposedly “evil” scourge of Muslims against the backdrop of themore tangible, long-term, and widespread threats of organized crime that isworrying on at least two fronts. First, its demonization of Muslims makestheir lives in the West an increasingly problematic experience and, second, itfocuses the public’s attention on an abstract threat (“terror”) while divertingattention from more tangible (if intractable) threats, thereby allowing theUnited States’ neoconservative imperial ambitions to proceed.Maligning Muslims and Islam is reaching a dangerous level of acceptabilityin the United States and elsewhere in the West, even at the level ofpolitical discourse, and is buttressed by a largely supportive general public.The result: no-fly lists, racial profiling, and the jailing and torture of Muslims ...
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 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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.447 | 0.268 |
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".