MétaCan
Menu
← Back to cohort
Record W4396540636 · doi:10.24124/2024/59479

The Marshmallow Effect

2024· dissertation· en· W4396540636 on OpenAlexaff
Adam Harasimiuk

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

The Marshmallow Effect is a fictional work that explores the consequences of isolation and trauma on an individual’s identity. The story revolves around the protagonist Arthur, a man who inadvertently creates a reality-bending psychological safe haven to protect himself from his past only to have it warp and transform into an insidious space which forces him to confront said past. This project, written as a screenplay, follows Arthur as he experiences and is affected by horrifically warped versions of his memories, unbound by the rules of reality and fantastical in their proportions, until he becomes an active participant and takes back control of his space and identity. Through discussions of horror, ghosts, folklore, film, and psychological critique, my introduction breaks down the application of setting in the story as a transformative, trauma-informed space that is inexorably intertwined with Arthur’s identity and body, the relationship between the characters and repetition of action to initially reinforce, then defamiliarize, identity, and the difficulties in confronting or coming to terms with trauma in order to move past negativity and into a realm of greater stability in terms of the self and identity.,

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.017
Scholarly communication0.0050.009
Open science0.0010.012
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0490.004

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 head0.003
GPT teacher head0.252
Teacher spread0.248 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicAnimal Ecology and Behavior Studies→French-language works237,207→