Como a comunicação pode auxiliar os museus de arte a atingir seus objetivos organizacionais e difundir cultura
Bibliographic record
Abstract
This work evaluates the Culture under the Museums of Art concern, foucusing in the structure of the Corporate Communication of this kind of organisation.Here, the Culture is seem as a human changing factor, capable of influence a social and economical enviroment, and the museum is contemplate as the main instrument in this process.In this situation, the communication is considered as a important agent, and it is analised on its integrated concept: institutional, intern and for the market.To complement this theorical study, it was made a practical research composed by 6 semi-structered script interviews with communications specialists in 5 museums, and on field visits in 12 museums.The interviews and the visits had as objective understand the corporate structure, the process, the projects and the tools used for each museum.The result of this research was a possibility of indicate guide lines for communications departments, as well as evaluate, in a comparative way, the actions and the tools in each organisation here in Brasil and in other 3 countries. SUMÁRIO
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".