Remediation and Spectral Bibliography: Ghost Hunting in Early Modern Books
Bibliographic record
Abstract
This paper explores the layers of remediation and hidden labour embedded in the digitization of early modern texts, focusing on how metadata traces in digital archives can both reveal and obscure the material history of books. Using a bibliographic workflow, this study examines the challenges of distinguishing between material artifacts of the original printing process and distortions introduced through digitization. Through a case study of Thomas May’s The Tragedie of Cleopatra, I analyze metadata from the English Short Title Catalogue (ESTC) and Internet Archive, alongside correspondence with archivists, to reconstruct the provenance and digitization history of the text. I thus contend that the digitization of early modern texts introduces ambiguities: digital anomalies that can obscure or distort the material history of these works, thereby challenging the reliability of digital surrogates for historical inquiry. This research highlights the stakes of providing scholars with opportunities for in-person archival study, particularly in cases where digital surrogates present anomalies that resist easy categorization. These stakes are especially high for scholars relying on digital scans to conduct research, as addressing these uncertainties requires innovation in digitization processes, and sustained investment in methodologies that bridge the gap between digital and physical archives, ensuring the reliability of digital surrogates for historical inquiry. Cet article examine les strates de remédiation et le travail invisible impliqués dans la numérisation des textes de la première modernité, en s’attachant à la manière dont les traces de métadonnées dans les archives numériques peuvent à la fois révéler et masquer l’histoire matérielle des livres. En mobilisant un protocole bibliographique, cette étude analyse les difficultés à distinguer les artefacts matériels issus du processus d’impression d’origine des altérations induites par la numérisation. À travers une étude de cas portant sur The Tragedie of Cleopatra de Thomas May, j’analyse les métadonnées issues du English Short Title Catalogue (ESTC) et de l’Internet Archive, ainsi que des échanges avec des archivistes, pour reconstruire la provenance et l’histoire de la numérisation du texte. Je soutiens ainsi que la numérisation des textes anciens introduit des ambiguïtés : des anomalies numériques susceptibles d’obscurcir ou de déformer l’histoire matérielle de ces œuvres, remettant en cause la fiabilité des substituts numériques dans la recherche historique. Cette recherche souligne l’importance de garantir aux chercheurs un accès physique aux archives, en particulier lorsque les substituts numériques présentent des anomalies difficiles à classer. Ces enjeux sont d’autant plus cruciaux pour les chercheurs dépendant des scans numériques, car surmonter ces incertitudes exige à la fois des innovations dans les processus de numérisation et un investissement durable dans des méthodologies capables de relier archives physiques et numériques, afin d’assurer la fiabilité des substituts numériques dans la recherche historique.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".