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Secrets in the Open: An Exercise in Interpretive Writing

2016· article· en· W4400610514 on OpenAlex
Galicia Blackman

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Applied Hermeneutics · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInnocenceCharacter (mathematics)AestheticsPsychologySecrecyPsychoanalysisArtComputer science

Abstract

fetched live from OpenAlex

In this paper I present an exemplar of interpretive writing based on my engagement with the movie, My Life as a Dog. The film is a series of vignettes about Ingemar, a young boy, who is processing the events which arise from the difficulties wrought by his mother’s illness. This is not the typical coming of age film where the child becomes an adult through the initiation into life’s painful circumstances. The film ends with the character still in his boyhood. Nevertheless, the intermittent voice-over conveys the impression that Ingemar is narrating in retrospect, in a build up to his emergence from a state of innocence to awareness, and acceptance of pain and loss. I attended to the principles of hermeneutic practice outlined by several scholars to frame my understanding of what it means to enter the hermeneutic circle to explore the topic which addressed me: Secrecy.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.160

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.059
GPT teacher head0.301
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it