MétaCan
Menu
Back to cohort
Record W7020985251

Mosaics of Resistance: Political Identity Expression in Palestinian Youth Subcultures

2024· dissertation· en· W7020985251 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVisionHomelandPoliticsExpression (computer science)GeopoliticsMosaicIdentity (music)Semiotics
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines contemporary transnational Palestinian hip-hop as part of a continuum of politically informed and informing cultural expression, emphasizing the increasing heterogeneity of ideals and visions for Palestinian national liberation in response to a series of expulsions, defeats, and treatises. It traces the relationship between politics and the poem-song from the late 18th century to the present, and there is a focus on the noticeable shifts in the geopolitical landscape at pivotal moments throughout the 20th century—the 1948 Nakba, the 1967 Naksa, and most importantly, the 1993 signing of the Oslo Accords—to reveal how the Palestinian situation has become what it is today, and what role the poem-song has played and continues to play in that evolution both within the historic homeland and without. Its focus is on contemporary Palestinian hip-hop and delves into a semiotic analysis of specific songs written and performed by contemporary Palestinian rappers and hip-hop artists from around the world to delineate a possible shared vision of or affiliation with Palestine. What we find in our analysis is a mosaic of opinions, identifications, and preoccupations that sometimes converge with one another and demonstrate a continuity with pre-Oslo resistance culture, while at other times diverge completely into their own new territory.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.260
Teacher spread0.240 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicJewish and Middle Eastern StudiesFrench-language works237,207