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Record W3125020779 · doi:10.1515/til-2016-0011

Informal Workers’ Aggregation and Law

2016· article· en· W3125020779 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTheoretical Inquiries in Law · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsInvisibilityWorkforceInformal sectorOrder (exchange)Action (physics)Informal educationBusinessSociologyEconomic growthPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

In India, more than ninety percent of the workforce is informal. In spite of this enormous percentage of informal workers, these workers remain invisible to law and policy circles. One of the reasons for such exclusion and invisibility is the absence of unionism involving informal workers. In order to overcome this invisibility, informal workers are increasingly organizing into associations that are different from traditional trade unions. These organizations devise their strategies and their legal statuses in view of the atypical characteristics of informal activities. In this Article, I document some of these organizations of self-employed informal workers in India – their characteristics and functions. On this basis, I contend that these organizations offer a model for collective action by informal workers. I argue that these associations are a sui generis organization of informal workers, and could become a precursor to solidarity-based collective initiatives by informal workers globally. In the backdrop to this proposition, I analyze the role of law in promoting such aggregation of informal workers in furtherance of their collective action. I argue that while organizations of informal workers in India employ the existing legal framework to the best of their advantage, the law fails to recognize some of their status as workers, thereby creating hurdles towards informal workers’ collective action. A small farmer works on her own farm. In tough times, she also works on other farms as a laborer. When the agriculture season is over, she goes to the forest to collect gum and other forest produce. Year round, she produces embroidered items either at a piece rate for a contractor or for sale to a trader who comes to her village to buy goods. Now, how should her trade be categorized? Does she belong to the agricultural sector, the factory sector, or the home-based work sector? Should she be categorized as a farmer or a farm worker? Is she self-employed or is she a piece-rate worker? Because her situation cannot be defined and contained neatly in a box, she has no work status and her right to representation in a union is unrealized. She is denied access to financial services or training to upgrade her skills. The tyranny of having to belong to a well-defined “category” has condemned her to having no “identity.” — Ela R. Bhatt E la R. B hatt , W e A re P oor but S o M any : T he S tory of S elf -E mployed W omen in I ndia 17 (2006).

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.973

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 studies0.0000.029
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.379
Teacher spread0.344 · 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