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Record W3106581725 · doi:10.21125/iceri.2020.1533

THE APPLICATION OF THE INNOVATIVE APPROACHES IN COMMUNICATION AND THE EDUCATIONAL PROCESSES

2020· article· en· W3106581725 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

VenueICERI proceedings · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, Innovation and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The influence and impact of innovations in a society is not identical and some innovations penetrate a society more radically: the influence of others may only be incremental. For example, in tourism a radical impact on marketing communication processes has come with the development of ICT technologies. Johanesson et al. (2001), Dosi (1982) associated revolutionary change with radical innovation, and the process of continual change and implementation of novelty considered as incremental innovation. Despite a more radical character, incremental innovations stem from market needs and are strategically easier to proceed with because a process of the implementation can be planned. One of the managerial tools of communication in specific places is different e-technologies as well as artificial intelligence, which could be used in the consumer approach process as well as the supply side approach. The concept of ambient intelligence means a creation of the clusters of intelligence of high tech environments (artificial intelligence, business modeling and brand models application). This concept corresponds to the new age based on the “mobilization of ideas, knowledge and expectations” and technologies, which can be used also in branding, as for instance experience economy concepts. Moutinho, Rita and Curry (1996) mentioned that artificial intelligence (AI) has scarcely touched today’s managers; it will begin to have dramatic and widespread impacts on their activities over the next few years. Knowledge is an important competitive tool for innovation, in the new, post- capitalist society that is based on a knowledge economy. Drucker (1993, p. 38) stated that “knowledge is the only meaningful resource today”; however, this might be a little misleading, because it is not only about the possession of knowledge, but also the diffusion and use the knowledge for the company, or a region, country. Diffusion and transformation of knowledge is crucial. For this reason is sometimes important to focus not only on the supply side concepts, but also demand and consumers and their desire and especially implement in the new communication strategies the technologies based on the innovative principles. The article will deal with the concepts of the innovative social technologies and their application in the teaching process. It means the study of successful cases, where the clusters of intelligence based on the diffusion of knowledge and the co-operation and mutual communication and partnership of the educational institutions with the innovative businesses and start-ups enabled to improve the business environment of particular cities and the competitiveness of schools, their quality. It created tighter linkage of the educational process at the universities to the needs of a society and the improvement of the employability of the university graduates. A case study approach from Canada, Ontario will be used from the successful educational institutions and businesses (start-ups) allowing this new approach (so called Tripple-Helix principle) to partnerships and communication.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.054
GPT teacher head0.329
Teacher spread0.275 · 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