The impact of the legal norm under Article 134.3 of the Homeland Defence Act (“Ustawa o obronie ojczyzny” - UoO) on the personnel potential resulting from the involvement of people with disabilities on thing of the Armed Forces of the Republic of Poland
Bibliographic record
Abstract
Objectives To identify assumptions of the legal norms, in the context of the impact of the involvement of people with disabilities for the implementation of the tasks and objectives of the Polish Armed Forces on the examples from the U.S, Canada and Israel. Methods Systematic review of the literature and websites on the possible inclusion of persons with disabilities in the Armed Forces. Results The analysis determined the significance of the legal norm Article 134.3 of the Act on the impact of the involvement of persons with disabilities for the implementation of tasks by the Polish Armed Forces. Conclusions In previous regulations related to military service, people with disabilities were not able to be on duty neither actively function within the national security system, remaining, outside the system. One of the revolutionary changes connected with implementation of the Article 134.3 of the Homeland Defence Act is the admission of people with disabilities to the military service. The article contains suggestions for the Polish Armed Forces on how to involve persons with disabilities in the effective implementation of their goals and tasks. The highly qualified, competent, and knowledgeable personnel will be engaged, e.g. in the IT area especially since a new component has been created within the Polish Armed Forces: Cyberspace Defence Forces (DK-WOC). An effective increase in the level of awareness, competence, and knowledge in the field of military service by persons with disabilities may be of key importance for shaping the state security system and provide support to the Polish Armed Forces.
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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 | 0.050 | 0.163 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".