"Charlotte's Web:" How One Woman Weaves Positive Relationships on the Net
Bibliographic record
Abstract
This case study will explore one woman's experience of the Internet as a positive transformational medium through relationship. In order to protect the anonymity of the participant and in honor of the original female on the web, she has been referred to throughout the paper as Charlotte. This case study explores her online experience as a divorced woman in her early thirties, who soon after her discovery of the Internet began an online relationship. This resulted in, among other things, the end of her marriage. On the surface, Charlotte's story reads like that of many others. However, while that initial online relationship did not work out, she continued to use the Internet as a means of finding and developing other relationships, both platonic and romantic. She can also be distinguished from the stereotyped "online junkie," as she has maintained a strong face-to-face social life along side her Internet relationships. In her own words, "The Internet has been a positive and transformational medium in my life." As well, she has kept a detailed journal of her experience since her first foray onto the Net 18 months ago, making her an ideal candidate for a case study. Material for the case study was gathered over the course of a number of 1-hour interviews carried out online via ICQ® chat software. Charlotte was encouraged to reflect upon her journal before each interview, and ambiguities in the interview were resolved by E-mail follow-up. A qualitative analysis was carried out on the material through a hermeneutic frame, exploring themes of self-perception and self in relation to others.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.032 | 0.011 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".