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Record W3030731019 · doi:10.3917/inno.062.0045

L’innovation gouvernementale comme moteur de la modernisation de l’administration publique algérienne

2020· article· fr· W3030731019 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInnovations · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesModernization theoryPhilosophy

Abstract

fetched live from OpenAlex

L’innovation gouvernementale constitue une piste privilégiée de résolution des problèmes rencontrés par le secteur public en perspective de sa modernisation. Cet article s’intéresse à l’innovation comme moteur de modernisation durable dans les organisations publiques, et ce, précisément au regard de l’expérience de mise en place de la plateforme de collaboration et de participation gouvernementale au Québec, qui semble réunir les préalables, les outils et les mécanismes nécessaires à son application dans le secteur public Algérien. Sur la base d’une approche qualitative et au moyen d’une démarche d’analyse processuelle, l’étude montre, à travers le cas de l’organisation publique algérienne, que cette innovation regroupe les instruments et mécanismes permettant son intégration comme moteur de modernisation de l’administration d’un pays émergent. Codes JEL : H83, O30, O31, O32, O33, O38

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.

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)0.001
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 score0.764
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.101
GPT teacher head0.325
Teacher spread0.224 · 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