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Record W2083254414 · doi:10.4043/20265-ms

SS: Canadian: Atlantic Development: The Value of Wellness

2009· article· en· W2083254414 on OpenAlexaffabout
Mike Jonathan Wahl, Mike Oneil, T Cooper

Bibliographic record

VenueOffshore Technology Conference · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLicenseBusinessConceptual modelScope (computer science)MarketingLoyaltyValue (mathematics)Risk analysis (engineering)Public relationsComputer science

Abstract

fetched live from OpenAlex

Abstract Description of the Proposed Paper: The value of wellness paper is a comprehensive research review that proposes a conceptual model of the costs associated with high and low risk employees on an annual and career model. This model accurately addresses the variables specific to the oil and gas industry including the internal and external factors which must be addressed by the organization prior to engaging in wellness activities. This paper accurately portrays the specific costs by division as well as highlights the effect of wellness on safety as it relates to health as well as regulatory burden and license to operate. Application: This conceptual model provides the audience with the accurate costs, factors and concerns associated with wellness initiatives in remote environments. Several factors such as senior managements role, medical costs, replacement workers and re-training are relayed to the audience encompassing the full scope of wellness risk as it exists in the offshore. Results, Observations, and Conclusions: The value of wellness paper quantifies that a high risk employee can cost a company $125,000 per year if encompassing all high risk factors and up to 2.65 million dollars over the course of a career. This paper concludes that by adopting a wellness culture and controlling for wellness risk the organization can avoid serious costs and gain intangible advantages in regulatory burden, license to operate and brand equity and company loyalty. Significance of Subject Matter: Wellness may be a substantial contributer to both HSE and value to an organization. Companies controlling for wellness risk with a comprehensive wellness program will control costs, operational issues such as safety and license to operate as well as retain and maintain employees in a competitive aging job market. Introduction Organizations frequently ask wellness professionals specific questions around the cost of wellness. How much does it cost to run a ‘best practice’ wellness program, how much should our cost be relative to our risk in an approach to employee's wellness and are our current wellness arrangements cost-effective? The reason for focusing on cost is that financial directors, board members and human resources directors have all identified cost minimisation as a critical element in ensuring an efficient and effective approach to an employee's wellness as part of a wider human resources and operational strategy. The following document demonstrates that examining the cost of wellness is just one part of the equation. Organizations also have to examine the value a wellness program provides.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.175
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0040.003
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.002

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 head0.042
GPT teacher head0.310
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes2
Has abstractyes

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