Bibliographic record
Abstract
Archival histories consist of tales we tell about the archive, and of tales the archive tells."(Helle 5)The universe of the Sylvia Plath archive is expanding.In addition to discussing long-established and worked-through archives such as the Plath papers held by Smith College and Indiana University, this series of papers has explored lesser known collections of materials such as the BBC Written Archives Centre, the Heinemann archives, and The New Yorker records.We ended our previous paper stating that "Since Plath's documents and possessions are scattered disparately in archives across the world, there are always new treasures to find" and with a quote from rare book dealer Rick Gekoski stating that "the treasure hunt must go on" (49).This is a challenge as much as it is a credo, and in this paper we continue our conversation about newly uncovered Sylvia Plath photographs, letters, and collections of archival materials.Our tales of the archive, and in particular the Plath archives, are as Anita Helle states above, a simultaneous telling.There are our experiences as researchers, and the stories we tell about our searches and finds, working alongside the stories the archives tell to us.This multidimensional story weaves a tale that not only informs us about Plath, but also includes history, culture, memory and time-hopping across years.As in "These Ghostly Archives 4," 1 our research for this paper took place both within the walls of traditional archivesin libraries and special collections-as well as remotely through Google queries and out of doors: both in nature and in houses where Plath resided.In this latter category of "archive" it is the traces of Plath which proved most meaningful and instructive in understanding just how ghostly and limitless her archive is.So whereas a traditional view of an archive may be a wood-paneled reading room with manuscripts and letters, we argue that the archive exists as history on the ground.A place, a house, a room can contain an archive because it houses time, events, memories and past histories.If archives can tell us a tale, then what is more evocative than standing in a house Plath once lived in, or visiting a place she once visited?Places tell stories too.These experiences, we argue, are as relevant to the archive as the more traditional handling of papers and artifacts.
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 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".