MétaCan
Menu
Back to cohort
Record W6969595151 · doi:10.5683/sp/saxeqp

Survey of Innovation and Business Strategy 2007-2009: Operational Activities Table 13 [Canada] [Excel]

2023· dataset· en· W6969595151 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2023
Typedataset
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)Production (economics)Technology strategyGovernment (linguistics)Strategic managementTable (database)Innovation managementInformation technologyProduct innovationProduct management

Abstract

fetched live from OpenAlex

SIBS provides statistical information on strategic decisions, innovation activities and operational tactics used by Canadian enterprises. The survey also collects information on enterprise involvement in global value chains. The data was collected from January 2007 - December 2009. The questions address the following themes: Business strategies and monitoring Enterprise structure Operational activities Relocation of business activities Sales activities Business practices and relationships with suppliers Advanced technology use Product / process / marketing / organizational innovations Production performance management Human resources management Main product and market structure Government support programs Obstacles to innovation

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
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 science0.0000.000
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 head0.035
GPT teacher head0.262
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBorealisSame topicCorporate Social Responsibility and SustainabilityFrench-language works237,207