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Record W7114898991 · doi:10.4000/15c7x

Filières de récupération et de recyclage de la ferraille à Sfax : approche d’écologie industrielle et territoriale

2025· article· fr· W7114898991 on OpenAlexaff

Bibliographic record

VenueLes Cahiers d’EMAM · 2025
Typearticle
Languagefr
FieldEngineering
TopicRecycling and utilization of industrial and municipal waste in materials production
Canadian institutionsNorthern Alberta Institute of Technology
Fundersnot available
KeywordsContext (archaeology)Work (physics)Power (physics)Perspective (graphical)

Abstract

fetched live from OpenAlex

Longtemps perçue comme l’antonyme du développement durable, l’industrie a été reléguée au second rang dans les études géographiques. Cette marginalisation a eu pour conséquence l’absence d’un cadre d’analyse adapté à l’étude de la circularité des flux de déchets industriels. Le métabolisme territorial, devenu un outil central d’appréhension des flux de matières et d’énergie, reste largement ignoré dans les recherches géographiques en Tunisie qui demeurent centrées sur l’urbanisation et la st...

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.002
Science and technology studies0.0020.004
Scholarly communication0.0100.006
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.018
GPT teacher head0.306
Teacher spread0.287 · 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 designObservational
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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