Applied Comparison between Hierarchical Goal Analysis and Mission, Function and Task Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper uses a case study approach to compare applications of Mission, Function and Task Analysis (MFTA) and Hierarchical Goal Analysis (HGA) to identify requirements for systems design in a military context. The two approaches were used to analyze three tactical positions in the Operations Room of a Halifax Class naval frigate. MFTA produced a four-level hierarchy; the bottom level of which specified tasks to be performed by the three naval operators. HGA produced a hierarchy that ranged from four to eight levels; every level specified goals, each assigned to an operator and each associated with a controlled variable. MFTA was found easier to apply, as job positions and time were used as frames of reference to identify tasks. HGA was found harder to apply, as goals were not defined by position, organizational structure, or time. MFTA successfully identified operator tasks, while HGA successfully identified both operator tasks and interactions that could benefit from technological support.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it