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Record W2584469247 · doi:10.1108/fs-08-2016-0038

Reflections on the Canadian Government in competitive intelligence – programs and impacts

2017· article· en· W2584469247 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

Venueforesight · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsUniversity of Ottawa
FundersNational Research University Higher School of Economics
KeywordsGovernment (linguistics)CategorizationPublic relationsCompetitive intelligenceEconomic growthBusinessPolitical scienceMarketingEconomicsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Purpose This paper aims to present a categorization scheme and use it to classify Canadian Government (federal and provincial) competitive intelligence (CI) programs and to also look at the impact of these programs on sectoral and regional economic development. Design/methodology/approach Based on the author’s 25 years of experience designing, running, and studying Canadian Government CI programs, a classification scheme to classify these programs has been developed and used. Also, by using program review information, this paper looks at evidence for program impact on regional and sectoral economic development. Findings This paper identifies a broad range of federal and provincially sponsored CI programs aimed at helping both government officers and those outside the department make better decisions. The review identified several roles that the government can play in using CI: creator of CI (both for their own purposes and also for helping Canadian companies), CI environment skills builder (helping Canadian companies develop skills in developing their own CI) and CI partner (working jointly with Canadian companies in developing CI). While there have not been many formal program reviews of the CI programs sponsored by Canadian Government departments and agencies, anecdotal evidence (from training program participant evaluations) and a comprehensive review of a small community CI-based economic development program support positive sectoral and regional economic development results arising from these programs. Practical implications CI programs can be used as part of a government’s regional and sectoral economic development approach. CI can be used to assist with decision-making both within and outside the government. This paper identifies several different kinds of programs that can be used to further a government’s economic development agenda. Originality/value There are very few articles that examine how governments have helped companies to develop CI and how they have used CI, and none has looked at the impact of these on regional and sectoral economic development. This paper, based on the author’s experiences, provides a view of the Canadian programs and their impact on regional/sectoral economic development.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.072
GPT teacher head0.310
Teacher spread0.238 · 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