Kerinduan pada Tanah Air dalam Antologi Puisi ‘Āsyiq Min Falisṭīn Karya Mahmoud Darwish (Analisis Semiotika Riffaterre)
Bibliographic record
Abstract
Anthology of poetry Mahmoud Darwish's work Āsyiq min Falisṭīn is a poem about longing, which shows the poet's love for his homeland. On the other hand, the poetry in the anthology also describes the condition of the poet who is in prison, isolated and without a family. To discuss the poetry anthology above, this thesis utilizes the semiotic theory developed by Michael Riffaterre. There are three problems studied in this thesis, they are: 1) What is the form of indirect expression in the poetry anthology of Āsyiq min Falisṭīn by Mahmoud Darwish, 2) What is the meaning contained in the anthology of poetry Āsyiq min Falisṭīn Mahmoud Darwish's work with heuristic and hermeneutic readings, 3) How are the matrices, models, and variants in the poetry anthology of Āsyiq min Falisṭīn by Mahmoud Darwish. The method used in this study is a qualitative descriptive that describes the results of research using Riffaterre's semiotics method. This research concludes the following. First, the indirect form of expression in the poetry anthology Mahmoud Darwish's work Āsyiq min Falisṭīn is in the form of changing meaning, distorting meaning, and creating meaning. Second, through heuristic and hermeneutic reading, it can be concluded that the poems in the anthology above describe the poet's longing for his land of Palestine. Third, the matrix, model, and variant in the poetry anthology Mahmoud Darwish's work Āsyiq min Falisṭīn shows the relationship between the themes of each stanza of his poetry.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".