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Record W1551255917

Kurdish Identity, Discourse, and New Media (review)

2012· article· en· W1551255917 on OpenAlexaboutno aff
Michael M. Gunter

Bibliographic record

VenueThe Middle East Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyCritical discourse analysisDiscourse analysisSociocultural evolutionMedia studiesNational identityJargonIdentity (music)IdeologyPublic spherePoliticsGender studiesPolitical scienceLinguisticsLawAnthropology
DOInot available

Abstract

fetched live from OpenAlex

KURDS Kurdish Identity, Discourse, and New Media, by Jaffer Sheyholislami. New York: Palgrave Macmillan, 2011. 252 pages. $85. The new communication media (satellite television and the internet specifically) have increasingly affected global political and economic dynamics from democratization to terrorism and from economic development to conflict resolution. Jaffer Sheyholislami - born Kurdistan-Iran and currently an assistant professor at the School of Linguistics and Language Studies at Carleton University Canada - examines the ways Kurds have been using satellite television and the internet to construct their multiple as well as pan-Kurdish identity. To order and inform his data and findings, the author uses the interdisciplinary approach of Critical Discourse Analysis (CDA), framework for studying media discourse [that] consists of three interrelated dimensions: text, discourse practices, and sociocultural (pp. 14-15). CDA is useful combining theories of and national identities, discourse and media, the three main areas with which this study is concerned (p. 41), and is a research approach aimed at making transparent the discourses and ideology of the powerful order to create discourse awareness among the oppressed (p. 184). Following his jargon-laden and overly technical introduction, the author devotes his second chapter to theory and method to illustrate how national are discursive constructs, examine the significance of communication technologies construction, and explore sociocultural contexts that bear upon media products. Further chapters focus on the Kurdish identity, Kurdish media from to Facebook, discourse practices and textual analysis of the Barzani-led Kurdistan Democratic Party's (KDP) satellite television channel KTV, and discourse practices and textual analysis of the Kurdish internet. In contrast to his initial introductory chapter, the author now begins to turn apt phrases and make insightful observations. For example, although one must be wary of technological determinism (p. 37), one might still see as the child of print (p. 31). It is safe to suggest that the press shaped the ideas and politics of the intellectuals and activists, who are the architect of nationalism (p. 83). At the same time, however, the author also examines why none of the traditional news media were capable of creating truly imagined pan-Kurdish community. He submits, however, that since the mid-1990s, satellite television and the Internet have facilitated dialogic communication among the Kurds, development that possibly has contributed to the emergence of strong and unprecedented cross-border collective Kurdish identity (p. 79). The author notes that although in the late 1700s, the printing press contributed to the formation of the modern nation-states; today, the electronic media are used by minorities and nations without state of their own their projects of building communities and collective identities (p. …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.111
GPT teacher head0.352
Teacher spread0.241 · 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
GenreReview

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
Published2012
Admission routes1
Has abstractyes

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