MétaCan
Menu
Back to cohort
Record W958997623 · doi:10.1163/18763375-00702001

State Actor-Social Movement Coalitions and Policy-making Under Authoritarianism: The Moroccan Party of Justice and Development in the Urban Municipality of Kenitra

2015· article· en· W958997623 on OpenAlexaff
Janine A. Clark, Emanuela Dalmasso

Bibliographic record

VenueMiddle East Law and Governance · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAppealAuthoritarianismOpposition (politics)State (computer science)Political scienceNOMINATEPublic administrationPreferencePolitical economyLawSociologyDemocracyPoliticsEconomics

Abstract

fetched live from OpenAlex

This article examines the conditions under which state actor-social movement (sasm) coalitions form in policy-making in authoritarian states. Based on a comparison of three cases of policy reform undertaken by the Party of Justice and Development (pjd) in the municipality of Kenitra, Morocco, it argues: 1) in authoritarian states, we must analyse sasm interactions and the interactions between elected state actors and nominated state actors representing the central authorities; 2) the pjd forms coalitions with social movement organizations (smos) depending whether its policy preference is in opposition to the authorities’ and whether it has mass appeal; 3) when its preference conflicts with that of the authorities yet has broad support, the pjd formally mobilizes smos; when it conflicts with the authorities’ preference but has limited appeal, informal party-social movement coalitions are formed; and when it is neither in conflict with the authorities’ preference nor has mass appeal, coalitions are unnecessary.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.011
Scholarly communication0.0060.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.272
Teacher spread0.201 · 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 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

Citations4
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMiddle East Law and GovernanceSame topicAgriculture and Rural Development ResearchFrench-language works237,207