INSTITUIÇÕES DE ENSINO SUPERIOR: ESTUDO COMPARATIVO DE RECEITAS E DESPESAS UNIVERSIDADES PÚBLICAS BRASILEIRAS, CANADENSES E AMERICANAS
Bibliographic record
Abstract
O objetivo deste trabalho A© analisar as estratA©gias de financiamento de forma comparativa entre InstituiA§Aµes de Ensino Superior - IES pAoblicas, realizando uma comparaA§A£o das fontes de recursos e das despesas por categorias econA´micas. Os dados foram levantados atravA©s dos demonstrativos financeiros existentes na internet de cada instituiA§A£o. Este estudo inclui nove universidades pAoblicas, sendo trAas universidades federais no Brasil (IES-BR), trAas universidades estaduais nos Estados Unidos (IES-US) e trAas universidades provinciais no CanadAi (IES-CA). Com base na anAilise comparativa das mA©dias percentuais das receitas totais no perAodo de 2001-2003, verifica-se que as IES-BR tAam o maior percentual de participaA§A£o de recursos pAoblicos, com 86,78%, seguindo as IES-CA com 60,87% e por Aoltimo as IES-US, com 37,08%. A principal despesa refere-se aos salAirios e encargos sociais: IES-BR 79,96%; IES-CA 65,09% e IES-US 53,26% da receita total. INSTITUTIONS OF SUPERIOR EDUCATION: COMPARATIVE STUDY OF PRESCRIPTION AND EXPENDITURES IN BRAZILIAN, CANADIAN AND AMERICAN PUBLIC UNIVERSITIES ABSTRACT The main objective of this work is to compare and analyze the financial sources and expense strategies of public universities, expressing this comparison in percentage terms. The data was collected from financial statements obtained from the Internet. This study included nine public universities, three Brazilian public universities (IES-BR), three American state universities (IES-US) and three Canadian provincial universities (IES-CA). Based on the comparative analysis of total receipts in the 2001-03 period, it can be seen that the IES-BR have the greatest percentage of public resources, with 86.16%, followed by the IES-CA, with 60.62% and finally the IES-US, with 37.08. The principal expenses are regarding salaries and benefits: IES-BR 80.06%; IES-CA 64.62; and IES-US 53.26% of total income.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".