MENSURAÇÃO DO CAPITAL INTELECTUAL EM PEQUENAS EMPRESAS: CASO DE ESTUDO DO SUPERMERCADO ARREIOU
Bibliographic record
Abstract
A presente pesquisa teve como objectivo geral avaliar o impacto da mensuração do capital intelectual em pequenas empresas, concretamente no Supermercado Arreiou. Com efeito, apresentam-se os seguintes objectivos específicos: Ilustrar o conceito de capital intelectual; Perceber a importância do capital humano no desenvolvimento das organizações; Conhecer as vantagens do capital intelectual e a importância do conhecimento no crescimento do Supermercado Arreiou. A metodologia baseou-se na pesquisa bibliográfica e estudo de caso, o tipo de abordagem fora quantitativa, com a técnica de inquérito. No capitalismo, o conhecimento humano é considerado como uma das ferramentas essenciais para o alcance dos objectivos organizacionais. O capital intelectual facilita o aprendizado, estimula a criatividade, desenvolve a capacidade individual e do grupo, e gera um diferencial de competência para a obtenção de vantagem competitiva para no Supermercado Arreiou. A mensuração do capital intelectual gera informações importantes para os gestores e auxilia na tomada de decisões a respeito de clientes, pessoal e investimentos.
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How this classification was reachedexpand
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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.010 |
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; both teacher heads agree on what is shown here.
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".