Feeling Poor and Lonely: The Felt Experiences of Low-Income Working Lone Mothers in Finland
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 article analyzes the current feelings of Finnish low-income working lone mothers and their views on what it means to be poor in the welfare state of Finland. This is done by analyzing written accounts of lone mothers through a qualitative content analysis. The data was collected in 2015 and 2021. The analysis reveals that mothers’ feelings of poverty have similarities to those described in data collected in a different context over 20 years ago. The article is inspired by an article published in Affilia in the year 2003 by Lynn McIntyre, Suzanne Officer, and Lynne M. Robinson. In their paper, McIntyre et al. analyzed the feelings of poor Canadian lone mothers. While the welfare regime and services influence how life is organized, it is evident that self-sacrifice for the children caused by poverty is very much a part of the written accounts of Finnish mothers. We show that while there are a few cultural differences in the feelings that lone mothers undergo on account of their low-income status, feelings such as loneliness are persistent and often shared regardless of time or geographical location. Therefore, we suggest that low-income mothers should be given greater support by society and governments to be able to feel hopeful and empowered rather than poor and alone.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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