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Record W4323789548 · doi:10.33137/ic.v30i.39466

Something Is Lost and Can't Be Found

2022· article· en· W4323789548 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueItalian Canadiana · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Awake past my bedtime on the overnight Alitalia flight, I scampered around sing-shouting a repertoire of theme tunes from television programs like The Friendly Giant, and Mr. Dressup.I added lines from my favourite toy commercial: "It's Slinky, it's Slinky, fun for girls and boys!"I was performing a medley, stringing the songs together and throwing in "la-la-la" to cover the lyrics I'd forgotten.I was dazzling, entertaining and destined to be famous.The Christmas before I turned five, my father took my mother and me back to Bonefro, their village in Italy.His decision made my mother happy.She'd left as a young bride and was depressed in Torontoprone to taking out her anger on me: the only child of a pair of mismatched characters whose arranged marriage would be a recipe for misery and madness-I was born to fix the mistake, to diffuse the tension and disperse the fog of gloom that permeated their home.I threw myself into the role with abandon, imitating the wrestlers on television, running through the backyard striking poses and yelling "ta-dah!"My father indulged me by applauding; my mother shook her head.No one knew where my tendency to burst into tears or song had come from-I was both a tragic thespian and budding comedian.Aboard the plane, my parents had grown sleepy but I was restless with excitement.Climbing over my father to freedom and fame, I promised not to wander far as he warned, "Don't be bother anyone."I sashayed up and down the aisle, hanging off armrests, batting my eyelashes like Darla in The Little Rascals-the Depression era comedy films that aired before Saturday morning cartoons-blowing kisses to amused passengers.My hard work was finally noticed by my dad.He stuck his arm out and caught me by the waistband of my polyester hip-huggers, interrupting my show-stopping finale, "Can you tell me how to get, how to get to Sesame Street?" "Basta, Eufemia.Sits down like good girl, or Mammanonna Femia will be upsets with you."His comment stopped me cold."But she's not here," I said.Though I had no memory of her, my paternal grandmother was my hero.I was jittery and jumpy

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.056
GPT teacher head0.241
Teacher spread0.185 · 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