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Record W7026688157

ANALYSE SOCIOTERMINOLOGIQUE, MORPHOLOGIQUE, LEXICOLOGIQUE ET SÃMANTIQUE DE LA TERMINOLOGIE DU TERRORISME

2009· other· en· W7026688157 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2009
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTerrorismNotional amountLexiconPerspective (graphical)Field (mathematics)Etymology
DOInot available

Abstract

fetched live from OpenAlex

The different activities that characterize the planning, sponsoring and execution of terrorist acts, measures and strategies for countering terrorism, lead to new terminological constructions in English and French. However, research shows that terminologists are yet to show interest in the study, analysis, and development of the field even though the daily activities, exchanges, debates, etc., involving specialists, scholars, researchers, politicians, stakeholders, or terrorists, who either perpetrate or fight against terrorism, lead to abundant lexical creativity. The present terminological inactivity in the field of terrorism may be, among other reasons, due to the fact that the definition of terrorism remains a purely theoretical issue and that one man’s terrorist often turns out to be another man’s freedom fighter. \nThis study is an effort to remedy the terminological lacunae in the field of terrorism. It contributes to the increasing efforts to understand and document terrorism in all its ramifications. The study explores the concept of terrorism from the etymology of the term, its present lack of a generally acceptable definition, to the different reactions and measures for countering terrorism at both domestic (from the perspective of a select number of countries) and international (from the perspective of the international community—United Nations) levels. It explores the status of terrorism as a terminological domain with the aim of: a) analyzing the concepts and notional structures of the field of terrorism; b) identifying the terms assigned to the concepts; c) establishing correspondence between terrorism terms in French and their English equivalents; d) compiling a bilingual (French/English) lexicon for the subject field. The study highlights not only the functions of terminological units in different discourse contexts, but also the attitudes of humans in relation to term usage in a variety of cultural, ideological and religious contexts.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0030.010
Scholarly communication0.0080.005
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.005
GPT teacher head0.191
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2009
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)→French-language works237,207→