Introducing and Promoting the New Porvoo Campus in Educational Fairs
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.
Bibliographic record
Abstract
The thesis was carried out as a project. The objective was to attend and organize three different educational fairs for HAAGA-HELIA in Bulgaria, Germany and the Ukraine. The purpose of attending these events was to attract new students to the Porvoo Campus, the brand new building and concept of HAAGA-HELIA in Porvoo. The project consisted of arranging and representing HAAGA-HELIA in the different events. The thesis presents the planning before and after the fair and also evaluates the work of the project manager in the project. \n\t \nAs the events were arranged in Bulgaria, Germany and the Ukraine, it was necessary to travel to these countries in order to participate. The educational fairs took place in the last quarter of 2010. The main goal of the project was to attract students to apply to HAAGA-HELIA Porvoo Campus. \n \nThe Porvoo Campus was inaugurated in January 2011 and brings a whole new concept of teaching and learning to the small city of Porvoo. The building reunites two different universities of applied sciences and has an innovative design and architecture to help the students succeed in their careers. \n \nIntegrated marketing communications and the organization of a fair are the main parts of the theoretical framework. The author’s comments and the sources found in literature give support to the practical part of the study that aims to work as a guide for future events attended by HAAGA-HELIA students. \n \nFeedback of the project and an overview of the project manager’s tasks are part of the conclusion. The events were really positive for HAAGA-HELIA and the branding of the new Porvoo Campus.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it