A Sociological Approach to Institutional Communication: The Public Image in Organizational Administration in Education
Bibliographic record
Abstract
Acknowledging that the external context visibly affects any organization, this investigation seeks to constitute a specific contribution to the study of the importance of public image in organizational administration. To that end, a collection and documentary analysis of news stories from the newspaper O Fayalense on the Asylum for the Disadvantaged Children of Horta [Asilo de Infância Desvalida da Horta], an institution located on Faial Island, Azores, Portugal, covering the time period of 1858 to 1895, is performed. In the presentation and discussion of the results, a comparison is made between two periods that involve a single president because they vary in the type of news stories published (at the level of sources and subjects). It is concluded that the news stories published cover three large types of references, which, given the period in question, vary substantially: factual information (on the celebrations occurring in the asylum, communications about donations received and appreciation of benefactors, or institutional information on the elections of the asylum directorate), praise (regarding the asylum’s mission, operation, or administration), and censures (including responses to external criticism, criticism of previous managements, and stories regarding the asylum’s precarious circumstances). The implication of the study is that the importance of a positive public image, especially a positive image that is supportive of the leadership, should not be overlooked for the organizational administration to have greater chances of success.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.006 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".