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Record W2297752002 · doi:10.15353/pced.v7i0.47

Strategic alliances: A concept for global and national marketing

2014· article· en· W2297752002 on OpenAlex
Joseph A. Montgomery

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePapers in Canadian Economic Development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLeadership, Human Resources, Global Affairs
Canadian institutionsRegional Municipality of Niagara
Fundersnot available
KeywordsNature versus nurtureService (business)Strategic planningBusinessMarketingAllianceStrategic allianceStrategic marketingTertiary sector of the economyProfit impact of marketing strategyStrategic financial managementMarketing strategyPolitical scienceSociology

Abstract

fetched live from OpenAlex

This paper explores the steps countries around the world have taken to assist their manufacturing and service sectors to set up profitable strategic alliances based on their own needs and nationalistic traits. It also examines programs undertaken in Canada at the federal, provincial and local level to nurture strategic alliancing as the stepping stone to global, national and local marketing in the 1990's and into the upcoming millennium. Using a combination of primary and secondary data, the author provides an unbiased appraisal of Canada's efforts in the field of strategic alliancing. The paper concludes with recommendations to form strategic alliances between the national, provincial, regional, municipal governments, by working in close cooperation with industrial associations, specific industrial sectors, universities and the service sector. Keywords: strategic alliance, manufacturing, service sector, clusters, networks

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.032
GPT teacher head0.273
Teacher spread0.240 · 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