An exploration of place and its representations: an intertextual/ dialogical reading of the photographs of AB Ovenstone and the novel Gillespie by John MacDougall Hay.
Bibliographic record
Abstract
“An intertextual/ dialogical reading of place through photography and fiction” The article is an exploration of place and its representations based on the intertextual reading of a series of photographs (1880-82) of Tarbert, Loch Fyne by Andrew Begbie Ovenstone (1851-1935) and the dialogical reading of a novel, Gillespie (1914), by John MacDougall Hay (1881-1919) which is set in Tarbert. The proposed article is inspired by a sense that a semiotic approach to the subject will reveal far more than has been discovered within the tradition of hermeneutics and patrimony and that much will be gained by a study of the contrast between written and visual signifiers. The article raises questions about the (unexamined) coded readings of place especially in relation to the photograph, and the lack of an adequately theorized tradition for the novel. The literary text is well known - if not well understood - but the images are from a rare, unpublished, private collection of photographs from Scotland, India and the furthest reaches of Empire (Ovenstone was the Atlantic Freight Manager of Anchor Line Ltd, the Glasgow shipping company). The paper emphasizes the need for the use of codes to decipher the texts. When we “read” the photographs we need to be aware of the intertextual relationship between the photograph and the landscape painting tradition as well as the common practice of the created tableau – there is then overlaid upon the image the sense of a set of conventions, a system which operates much like a language. We are able to discover through the notion of the “long quotation from appearances” the potential for more complex “synchronic” readings. Likewise, in the case of Gillespie, the novel operates within a genre which determines a “reading”. When we are aware of a code, we become aware of the way that Hay manoeuvres adroitly to thwart the reader’s best efforts to settle upon a preferred reading – especially one shaped by an authoritative narrator - which thereby allows for the genuine experience of “heteroglossia” to emerge. The notion of truth in Gillespie is interrogated in the light of Heidegger’s essay “The Origins of a Work of Art” in order that the relationship between representation and reality be clarified.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".