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Record W2181693659 · doi:10.5430/bmr.v4n4p43

Productivity from the Viewpoint of Lighting Companies in Valencia

2015· article· en· W2181693659 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.

venuePublished in a venue whose home country is Canada.
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

VenueBusiness and Management Research · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicProduct Development and Customization
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityWork (physics)Sample (material)Margin (machine learning)PerceptionBusinessMarketingOperations managementComputer scienceEconomicsEngineeringPsychologyMechanical engineering

Abstract

fetched live from OpenAlex

In recent years, the lighting industry has abandoned the use of work measurement and standards time tools and everything the use of such tools implies. Seemingly, their use was considered politically incorrect, perhaps because of the way companies approached these tools in the past. Nevertheless, these tools are still useful for planning and managing productivity and are becoming increasingly necessary. By investigating lighting companies in the region of Valencia (Spain-Europe), this study analyses perceptions about productivity, work measurement and standards time and to explores how companies use these tools. A survey gathering responses from interviews with 42 lighting companies (of the 230 entrerprises) was used to collect data on these companies’ perceptions. This is considered a representative sample, been the error margin of 14% whith a confidence level of 95%. Data from these interviews were then analysed. This article presents results of this analysis.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.104
GPT teacher head0.298
Teacher spread0.194 · 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