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Record W4249713907 · doi:10.2118/198004-ms

Safety Pact

2019· article· en· W4249713907 on OpenAlexaff
Luca Franceschini, Pietro Maugeri, Paolo Chiantella, Antonio Buccarelli, Roberto Grillo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsRoyal Alberta Museum
Fundersnot available
KeywordsPactStability and Growth PactOperations managementTest (biology)ExcellenceDirectivePlan (archaeology)BusinessRisk analysis (engineering)EngineeringProcess managementComputer scienceEuropean union

Abstract

fetched live from OpenAlex

Abstract This document describes the journey taken over the years by the Milazzo Refinery, together with the Contractors, to achieve and maintain levels of excellence for the health and safety of all workers. The last step in this process was the "Safety Pact" between all parties involved in health and safety aspects. The Pact is updated and renewed every year with increasingly challenging objectives. The Pact is based on the following innovative methods:STOP - ANALYZE - THINK - DO procedure. It is based on the self-evaluation risk which is a procedure that every employee has to follow before starting any activitySafety "Pills". Short meetings take place on the contractors working area aimed at analyzing good or and bad practice observed during the works executionHousekeeping Coordinator. New role dedicated to manage all the issues related with the housekeeping of the working areasRewarding system to evaluate behaviours adopted in the working area: bonus/malus points to workers depending on their particular attention for safety. The Safety Pact was thought and implemented as a first field test during a Major Turnaround (TA) and as a possible innovative tool to define rules and goals between RAM and Contractors, with the purpose of improving safety during turnaround activities and achieving the most important target of ZERO INJURIES. Following turnaround completion RaM and Contractors make a balance of the results analyzing performance index and making plan to improve weak area in the future. The implementation of a formal signed Safety Pact between RaM dramatically increased engagement of different companies (client + contractors) towards safety and allowed RaM to achieve ZERO INJURIES during the Turnaround activities. Moreover it has been observed an improvement of the housekeeping, a reduction of non-compliances for dangerous behaviour and a widespread application of RaM procedure for scaffoldings. The success of this kind of approach suggested RaM to adopt the safety pact to every refinery turnaround (both major and minor ones) but also extend it to each single refinery maintenance activity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.040

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 head0.057
GPT teacher head0.371
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2019
Admission routes1
Has abstractyes

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