Bibliographic record
Abstract
Abstract in English Elsa Grave (1918-2003) is a Swedish writer, artist and composer. The aim of my study is to analyse the female character in Mödrar som vargar, (Mothers As Wolves), which is a collection of poems written in 1972. The analysis is divided into four parts. First I analyse the figures of speech of the female “I” in the poems. In the second part I`m dealing with how she acts and relates to men. In the third part of my study I focus on how it affects her to give birth to a child and be a mother. The fourth part is about how she relates to the world and its problems in general. I have chosen different feminist theories for my analysis. The study of how the woman character speaks is based on, among others, Lars Elleström´s theory of the conception of irony as a female way of writing. The relation between man and woman is studied from Yvonne Hirdman´s theory that there is a gender contract that rules how the two sexes act within the family. Nancy Chodorow´s theory about mothering, based on the Oeidipus complex, is the background for the part about mother and child. The fourth part about the female character and the outer world is based on Carol Gilligan´s theory that women have another kind of moral than men. The result of my analysis shows that the woman character speaks ironically, by for example using metaphors with double meanings. My analysis also shows that the woman character as a partner is passive, emotional and inferior to the male figure. As a mother she is active and protecting, but she also speaks of the forbidden sides of motherhood, such as anger and selfishness. My analysis also shows that being a mother changes the female character´s way of looking at the world, and makes her a more responsible citizen of the world.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".