A formação conjunta no âmbito das informações militares
Bibliographic record
Abstract
Decorrente do atual contexto internacional, as informações militares enfrentam um grande desafio, que se traduz na habilitação dos seus recursos humanos, carentes de especialização nesta vertente. Com o presente trabalho pretende-se analisar o modelo formativo de informações militares, em uso nas Forças Armadas Portuguesas e verificar de que forma poderá ser otimizado. A metodologia de investigação seguiu a lógica de um raciocínio indutivo, assente numa estratégia qualitativa, baseando-se num desenho de pesquisa de estudo de caso, através de uma análise documental e de conteúdo, com recurso a entrevistas semiestruturadas efetuadas a especialistas em informações militares. Identificaram-se as lacunas patentes no presente modelo formativo, tendo por base as competências inerentes ao desempenho de funções de informações militares, bem como os exemplos de outros modelos formativos praticados por países amigos, são apresentadas propostas para a edificação de um modelo formativo de cariz conjunto, no seio das Forças Armadas Portuguesas. Concluiu-se que o modelo formativo atual se encontra descentralizado, sofrível de coordenação e complementaridade, sendo possível otimizá-lo através de uma reformulação assente em recursos e mecanismos já existentes, incrementando novos. Contribuindo assim, para um salto qualitativo, no sentido de garantir a harmonização do conhecimento e permitir o reconhecimento geral de uma competência específica. Abstract: Due to the current international context, Intelligence faces a great challenge, which translates into the qualification of its human resources, lacking in specialization. The intend of this work, is to analyze the Intelligence education model, in use in the Portuguese Armed Forces and to verify how it can be optimized. The research methodology followed the logic of an inductive reasoning, based on a qualitative strategy and a case study research design, through a documentary and content analysis, using semi-structured interviews with Intelligence specialists. The gaps in the national education model were identified, and based on the competencies inherent to the performance of Intelligence job descriptions, as well as examples of other friend countries education models, proposals are presented for the building of a joint education model within the Portuguese Armed Forces. It was concluded that the current education model is decentralized, suffering from coordination and complementarity, being possible to optimize it through a reformulation based on existing resources and mechanisms, increasing others, thus contributing to a qualitative leap, in order to ensure the harmonization of knowledge and allow the general recognition of a specific competence.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.205 | 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; 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".