MétaCan
Menu
Back to cohort
Record W2520743645

Efficiency analysis of the Canadian wood-product manufacturing subsectors: A DEA approach.

2007· article· en· W2520743645 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueForest Products Journal · 2007
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPulpwoodVeneerLoggingHardwoodWood industryProduct (mathematics)BusinessForestryIncentiveAgricultural scienceEngineeringPulp and paper industryOperations managementEnvironmental scienceAgricultural economicsMathematicsGeographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

The current state of hardwood log merchandising and bucking practices in West Virginia was examined by on-site interviews with 50 timber harvesting companies. Results indicate that most of the roundwood harvested was merchandized into sawlogs, pulpwood, OSB, peelers, veneer, and scragg. The average daily production of the logging companies was 4.4 truckloads per day with more than 60 percent of the companies producing 1 to 3 truckloads per day. Most sawmills required a small-end diameter between 10 and 12 inches and preferred logs 10 feet in length. Incentives ranging from $10 to $50 per thousand board feet (MBF) in Doyle scale would be needed for some companies to buck logs for grade. Approximately half of the logging companies and 46 percent of the independent loggers were willing to take advantage of training for better bucking decisions and strategies.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.202
Teacher spread0.190 · 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