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Record W3160397981 · doi:10.62791/f048x883

An Imagined Encounter

2019· article· en· W3160397981 on OpenAlexaboutno aff
Ângela Ferreira

Bibliographic record

VenuePortuguese Literary and Cultural Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

An Imagined EncounterI'm out of makeup.Well, mascara.And eyeliner.And blush.I have a wedding later today -the Portuguese kind -and I can't be seen au naturel.Immediately, a future conversation with my tia pops up; she will say: what happened to your face?I will respond with: nothing, Tia, it's just my face.My aunt will then say: but in the photos, on the machine, you look so nice.I say: I didn't have time to look at my face.I suddenly realize I've given away too much information.My tia says: You don't have time?And she launches into a monologue about how young people only want to hang out, and go to restaurants, and not make their beds.It goes on for about five minutes.I say goodbye and run away, missing the wedding festivities.Every Portuguese girl plays out conversations with various matriarchs in order to avoid scrutiny, or at least to minimize it.This policing of behavior is still a remnant of the Salazar regime, when secret spies populated even the smallest of towns.I'd bet money that Portuguese aunts invented the kind of surveillance Michel Foucault talks about -the kind that turns everyone into policing each other's behavior.The paradox here is that my aunt still thinks that Portugal has remained the same since she left in the 1950s.My tia upholds behaviors from over 50 years ago, and expects that Luso-Canadians maintain Salazar's ideals and policies.This was precisely Salazar's aim -to keep people incapable of seeing the power structures controlling them so as to instead observe their own family, friends, and neighbors.Keep them looking sideways.It's not all bad though, gathering information through surveillance is kind of like the predecessor to a neighborhood block watch.My plan today, on my cousin's wedding day, though, is to avoid being compared with all the nice Portuguese girls, women with successful careers like Nelly Furtado, Mariza, and Cristina Ferreira (no relation to me -I swear).I decide that, instead of this, I'll arm myself with makeup.My glamorized face will perhaps distract my Tia.I walk to the pharmacy in my neighborhood, Commercial Drive.I was born in Vancouver, Canada and this neighborhood epitomizes my experiences -I know

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.669
Threshold uncertainty score0.324

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.316
Teacher spread0.300 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2019
Admission routes1
Has abstractyes

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