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Record W4383959100 · doi:10.54941/ahfe1003692

A Designer Situation

2023· article· en· W4383959100 on OpenAlexaboutno aff
Yi Luo

Bibliographic record

VenueAHFE international · 2023
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
Fundersnot available
KeywordsMeritocracyIncentiveIdeologySociologyValue (mathematics)Public relationsEngineering ethicsMarketingComputer sciencePolitical scienceEngineeringBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

Designers are first and foremost members of society, sharing the same concerns around education, finance, career prospects, social status, and self-fulfillment as any other practitioners. The creative and humanistic nature of designer roles, however, often places them in an inferior position in meritocratic, progressivist systems. In a total of three sections, designers are contextualized in a scape of lived experiences, anecdotal evidence, statistics, investigative reports, and theoretical resources, interwoven to picture a specific contemporary designer situation. The Human Capital discussed the systemic occupational discrimination against designers made visible and measurable by the US and Canadian immigration offices, attributing this phenomenon to the awkward classification of academic disciplines, the poor understanding of designer roles at the administrative level, and the skewed emphasis on solving hard technical problems. It was argued that said skewed emphasis can be traced back to the setup of goals and incentives in the existing educational institutions, overshadowing the value of designers’ ability to solve real-world problems and improve the wellbeing of many. The (Great) Expectations touched on the homogenous admission schemes in China and the profound implications of Eurocentric ideologies on Chinese design students’ choice of postgrad education. These factors, combined with the disproportionate expansion of design schools in the UK and the less-than-transparent rankings that favored British schools, gave birth to a tutoring industry that aims at sending Chinese design students to the UK for higher education. The discrepancy between the expectations from the education systems and the requirements from the job market, however, contributed to a new norm where graduates from prestigious programs overseas went back to the sector where they once received tutoring, instead of working as designers in the field. The Job raised personal observations and reflections on graphic design jobs. Juxtaposed with David Graeber’s bullshit jobs theory, the repetitive, substitutable, and nonautonomous aspects were brought up to question the meaningfulness and prospects of the very occupation, followed by a brief mention of emergent AI image generators both as opportunities to reduce workload and threats to the job security of graphic designers. Further, it was argued that because corporate design principles were postulated upon unsustainable business models, when designers are doing good in a contemporary corporate context, there is the danger of them causing more harm in the long run than their “average” counterparts. Stefan Sagmeister and Jaron Lanier were referenced to call for more justified specifications of “good design” versus “bad design”, as well as more subversive transformations of corporate design principles and know-hows. As a semi-open closing mark, opportunities for improvement and reframing of the afore-mentioned situation were identified to evoke further discussions on the very status of designers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.996

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.007

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 head0.091
GPT teacher head0.437
Teacher spread0.345 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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