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Record W4388531224 · doi:10.1093/sf/soad142

Review of “Tahrir’s Youth: Leaders of a Leaderless Revolution”

2023· article· en· W4388531224 on OpenAlexaffabout
Pengfei Zhao

Bibliographic record

VenueSocial Forces · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedia studiesSociologyPolitical scienceLibrary science

Abstract

fetched live from OpenAlex

Tahrir’s Youth: Leaders of a Leaderless Revolution offers vivid, intimate portraits of the youths who led the massive uprising that brought down the Mubarak regime in Egypt in 2011. The activism of these youths profoundly transformed contemporary Egyptian society, resulting in a series of political changes, many of which did not necessarily reflect the original intentions of the youths themselves. A decade after the historical events, the efforts, thoughts, and sacrifices of these young activists are still far from being sufficiently recognized by the popular narratives of recent Egyptian history. Instead, these popular accounts depict a “leaderless” revolution and highlight the role of Western social media in political activism. In Tahrir’s Youth, the author, Rusha Latif, powerfully challenges this narrative by offering a convincing story of how youths from a wide range of class and religious backgrounds engaged with each other and with the Egyptian people to mobilize and organize political activism. Latif situates her portraits of the revolutionary becoming of these young people in the historical context of the modernizing Egypt, that is, the socioeconomic order that was formed over the six decades from Nassar’s reign to Mubarak’s presidency. Rather than “leaderless,” “faceless,” and dependent on Western technology, the revolutionary story that Latif told has not only protagonists but also protagonists with biographic pre-revolutionary traces and post-revolutionary evolution. The author is not oblivious of the unique role that the Internet played in contemporary political activism. Arguing against an overly deterministic technological optimism, Tahrir’s Youth strikes a delicate balance between the social effects of information technology and the impact of these young actors’ political agency. The Internet, social media, and their associated networks are treated as important enabling conditions that shaped the trajectories of the historical course of these events but not as determining factors that exclusively account for the rise and fall of this political activism. Using Latif’s own words, “[the course of the events was]…neither thoroughly planned, nor completely spontaneous. Rather, it unfolded as part of a dialectical process in which purposeful actors and a historically determined contextual reality shaped one another through a series of rapidly evolving political actions and events that continuously transformed political actors and reconfigured their actions and subjectivities.” (Latif 2022, p. 153).

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)0.002
metaresearch head score (Gemma)0.008
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.005

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 head0.128
GPT teacher head0.379
Teacher spread0.250 · 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
Published2023
Admission routes2
Has abstractyes

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