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Record W4415777102 · doi:10.1093/indlaw/dwaf045

Diverging Trajectories in 2025 Employment Contract Reforms in Egypt and Tunisia: Job Security, Precariousness and Social Dialogue

2025· article· en· W4415777102 on OpenAlexaff
Sari Madi

Bibliographic record

VenueIndustrial Law Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsUniversité de MontréalMontreal Council on Foreign Relations
Fundersnot available
KeywordsDiscretionGovernment (linguistics)Independence (probability theory)Social protectionSocial assistanceSocial securitySocial contract

Abstract

fetched live from OpenAlex

Abstract This article examines the 2025 reforms of employment contracts in Egypt and Tunisia. Historically, both countries reinforced job security after independence but curtailed it through neoliberal reforms: in Tunisia, fixed-term contracts (FTCs) were permitted for permanent activities up to four years in exchange for stronger protections for permanent workers; in Egypt, FTCs could run up to five years and be indefinitely renewed, a trade-off linked to strikes’ legalisation. The 2025 reforms, however, marked a trajectory divergence. Tunisia curbs precariousness by restricting FTCs. It establishes the permanent contract as default, limits FTCs to exceptional cases, permits one renewal and grants FTC workers priority for permanent positions. By contrast, Egypt enables more permissive standards. It allows FTCs for permanent tasks with indefinite renewals and consolidates employer discretion in open-ended contracts by reinforcing legal ambiguity: one provision conditions termination on notice, another requires a ‘legitimate and sufficient justification’. Anecdotal accounts of social dialogue surrounding these reforms suggest, at times—particularly when government objectives were at stake—the process favoured control over deliberation, with irregularities functioning as instrumental tactics, including successive draft circulation, secret negotiations, delays, sidelining of labour’s positions and, in certain instances, their outright exclusion.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.317
Teacher spread0.284 · 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 designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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