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Record W1984836092 · doi:10.1080/02827580600917304

Malmquist productivity index of the manufacturing sector in Canada from 1994 to 2002, with a focus on the wood manufacturing sector

2006· article· en· W1984836092 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueScandinavian Journal of Forest Research · 2006
Typearticle
Languageen
FieldDecision Sciences
TopicEfficiency Analysis Using DEA
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProductivityMalmquist indexTechnical changeIndex (typography)Data envelopment analysisFrontierManufacturing sectorTechnological changeProduction–possibility frontierEconomicsWorkforceMultifactor productivityManufacturingAgricultural economicsTotal factor productivityBusinessLabour economicsEconomic growthGeographyMathematicsStatisticsMacroeconomics

Abstract

fetched live from OpenAlex

Abstract In this study, the productivity changes of the manufacturing industries in Canada were evaluated using the Malmquist productivity index, then the productivity change was decomposed into the frontier shift (technical change) and efficiency change (catch-up effect). The frontier shift is the change in the best practice frontier over time, typically due to changes in technology, while the catch-up effect is the change over time in the efficiency of each unit individually. The results of the analysis showed that the productivity of the Canadian manufacturing sector (on average) improved in 2002 compared with that of 1994 and the main reason for this growth was the frontier shift. However, during the same period in Canada, a slight descent was observed in the productivity of the wood products manufacturing sector, mainly due to a decline in efficiency change. This decline could have been due to various factors such as the decline in capital expenditure and the low educational level of the workforce.

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)0.007
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.060
GPT teacher head0.325
Teacher spread0.265 · 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