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Record W7094373464

9789461665096.pdf

2023· other· en· W7094373464 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2023
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsIslamophobiaScope (computer science)Action (physics)EthnographyCivil societyResistance (ecology)
DOInot available

Abstract

fetched live from OpenAlex

Foundations and mechanisms of Islamophobia in the West.
\n
\nIslamophobia as a Form of Radicalisation discusses the scope and fragmented boundaries of Islamophobia as a concept and a sociopolitical reality. The fifteen chapters of this collection cover and connect interdisciplinary research, media content analysis, media discourse analysis, ethnographic research, intersectoral advocacy work, and action research conducted in Belgium, Canada, France, Germany, Poland, Portugal, and Spain. Confronted with an Islamophobia that is growing as a symptom of broader societal malaise in the West, a resistance against it is also arising. It is now a question of better understanding the foundations and mechanisms of this metasolidarity and resistance. Islamophobia as a Form of Radicalisation offers recommendations for urgent consideration by Muslim citizens of Canada and Europe, media professionals, civil society and academic stakeholders, policymakers at the municipal, provincial and federal levels.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.137
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0100.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8630.822

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 head0.008
GPT teacher head0.317
Teacher spread0.309 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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